US20170187596A1 - Tracking data usage under a schematized data plan - Google Patents
Tracking data usage under a schematized data plan Download PDFInfo
- Publication number
- US20170187596A1 US20170187596A1 US15/350,001 US201615350001A US2017187596A1 US 20170187596 A1 US20170187596 A1 US 20170187596A1 US 201615350001 A US201615350001 A US 201615350001A US 2017187596 A1 US2017187596 A1 US 2017187596A1
- Authority
- US
- United States
- Prior art keywords
- data
- data usage
- computing devices
- usage statistics
- network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
- H04L12/1432—Metric aspects
- H04L12/1435—Metric aspects volume-based
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
- H04L43/045—Processing captured monitoring data, e.g. for logfile generation for graphical visualisation of monitoring data
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/06—Generation of reports
- H04L43/062—Generation of reports related to network traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/41—Billing record details, i.e. parameters, identifiers, structure of call data record [CDR]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/58—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP based on statistics of usage or network monitoring
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/60—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP based on actual use of network resources
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/70—Administration or customization aspects; Counter-checking correct charges
- H04M15/765—Linked or grouped accounts, e.g. of users or devices
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/70—Administration or customization aspects; Counter-checking correct charges
- H04M15/765—Linked or grouped accounts, e.g. of users or devices
- H04M15/7652—Linked or grouped accounts, e.g. of users or devices shared by users
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/80—Rating or billing plans; Tariff determination aspects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/83—Notification aspects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/83—Notification aspects
- H04M15/84—Types of notifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/83—Notification aspects
- H04M15/84—Types of notifications
- H04M15/846—Types of notifications optical, e.g. icon
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/83—Notification aspects
- H04M15/85—Notification aspects characterised by the type of condition triggering a notification
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/83—Notification aspects
- H04M15/85—Notification aspects characterised by the type of condition triggering a notification
- H04M15/853—Calculate maximum communication time or volume
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/83—Notification aspects
- H04M15/85—Notification aspects characterised by the type of condition triggering a notification
- H04M15/854—Available credit
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/83—Notification aspects
- H04M15/86—Recipients of the notification
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
-
- H04W4/003—
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/24—Accounting or billing
-
- H04W4/26—
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/60—Subscription-based services using application servers or record carriers, e.g. SIM application toolkits
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/18—Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
- H04W8/186—Processing of subscriber group data
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/70—Administration or customization aspects; Counter-checking correct charges
- H04M15/775—Account specifications on parallel communications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/80—Rating or billing plans; Tariff determination aspects
- H04M15/8044—Least cost routing
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
- H04M15/83—Notification aspects
- H04M15/85—Notification aspects characterised by the type of condition triggering a notification
- H04M15/856—Unsuccessful event
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/18—Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
- H04W88/02—Terminal devices
- H04W88/06—Terminal devices adapted for operation in multiple networks or having at least two operational modes, e.g. multi-mode terminals
Definitions
- Embodiments of the disclosure generate and represent data usage statistics with a schema.
- the schema represents a data usage plan associated with at least one user.
- the data usage plan describes threshold values associated with network connections of a plurality of computing devices of the user.
- the web service collects data from a mobile operator and/or the plurality of computing devices of the user.
- the data usage statistics are generated from the collected data, and represent data consumed under the data usage plan.
- the schema is updated with the generated data usage statistics and distributed to the plurality of the computing devices.
- FIG. 1 is an exemplary block diagram illustrating user computing devices communicating over one or more networks.
- FIG. 2 is an exemplary flow chart illustrating operation of a web service to track network data consumed by a plurality of user computing devices under a data usage plan.
- FIG. 3 is an exemplary flow chart illustrating operation of a computing device to populate a schema with statistics about the network data consumed by the computing device under a data usage plan.
- FIG. 4 is an exemplary user interface illustrating a summary of network data usage with different types of network connections.
- FIG. 5A is an exemplary user interface illustrating data usage by a mobile computing device consuming network data under a data usage plan with a monthly limit.
- FIG. 5B is an exemplary user interface illustrating data usage by a mobile computing device consuming network data under a pay-as-you-go data usage plan.
- FIG. 5C is an exemplary user interface illustrating data usage by a mobile computing device consuming network data under a data usage plan with unlimited data usage.
- FIG. 6 is an exemplary block diagram illustrates a mobile computing device having a tile for displaying network data usage statistics to a user.
- a centralized service such as a web service 108 monitors data consumption by one or more of the computing devices under a data usage plan.
- the web service 108 may receive data usage statistics 120 from the computing devices and/or from one or more mobile operators 111 associated with the data usage plan.
- the web service 108 presents the data usage statistics 120 to a user 104 relative to threshold values 118 associated with the data usage plan to provide the user 104 with an indication of the data usage and trending.
- the computing devices such as a mobile computing device 102 , generate the data usage statistics 120 for presentation to the user 104 .
- aspects of the disclosure employ the schema 116 such as an extensible markup language (XML) schema to represent the data usage plan and, in some embodiments, to represent the data usage statistics 120 .
- the schema 116 enables descriptions of the parts, components, services, features, or other aspects of the data usage plan including, but not limited to, multi-rate data plans, peak times, roaming rates, allotted data consumption per network connection 130 , etc.
- the schema 116 allows the mobile operators 111 to send out updated portions of the schema 116 corresponding to updated parts of the data usage plan.
- an exemplary block diagram illustrates user computing devices communicating over one or more networks 109 .
- one or more of the user computing devices are associated with a data usage plan.
- a plurality of the user computing devices may share data allotted under the same or common data usage plan.
- the user computing devices include any device executing instructions (e.g., as application programs, operating system functionality, or both) to implement operations and functionality.
- the user computing devices may include, for example, the mobile computing device 102 or any other portable device.
- the mobile computing device 102 includes a mobile telephone, laptop, tablet, computing pad, netbook, gaming device, e-reader, and/or portable media player.
- Other computing devices 106 may include less portable devices such as desktop personal computers, kiosks, and tabletop devices that have network connectivity capabilities. Additionally, each user computing device may represent a group of processing units. While aspects of the disclosure may be described herein with reference to the mobile computing device 102 , the descriptions are applicable to any of the user computing devices.
- the networks 109 represent any infrastructure or other means for sending and/or receiving data.
- the networks 109 may include wired and/or wireless networks.
- the user computing devices communicate with the web service 108 , or other entity that tracks network data consumption by the user computing devices. Further, one or more of the mobile operators 111 communicate with the web service 108 and/or the user computing devices.
- the mobile computing device 102 has at least one processor 110 and a memory area 112 .
- the processor 110 includes any quantity of processing units, and is programmed to execute computer-executable instructions for implementing aspects of the disclosure. The instructions may be performed by the processor 110 or by multiple processors executing within the mobile computing device 102 , or performed by a processor external to the mobile computing device 102 . In some embodiments, the processor 110 is programmed to execute instructions such as those illustrated in the figures (e.g., FIG. 3 ).
- the processor 110 represents an implementation of analog techniques to perform the operations described herein.
- the operations may be performed by an analog computing device and/or a digital computing device.
- the mobile computing device 102 further has one or more computer readable media such as the memory area 112 .
- the memory area 112 includes any quantity of media associated with or accessible by the mobile computing device 102 .
- the memory area 112 may be internal to the mobile computing device 102 (as shown in FIG. 1 ), external to the mobile computing device 102 (not shown), or both (not shown).
- the memory area 112 includes read-only memory and/or memory wired into an analog computing device.
- the memory area 112 stores, among other data, one or more applications 114 .
- the applications 114 when executed by the processor 110 , operate to perform functionality on the mobile computing device 102 .
- Exemplary applications 114 include mail application programs, web browsers, calendar application programs, address book application programs, messaging programs, media applications, location-based services, search programs, and the like.
- the applications 114 may communicate with counterpart applications or services such as the web services 108 accessible via the network 109 .
- the applications 114 may represent downloaded client-side applications that correspond to server-side services executing in a cloud.
- the memory area 112 further stores at least one schema 116 .
- the schema 116 represents a data usage plan associated with the user 104 , and may be populated with the data usage statistics 120 .
- the user 104 has contracted with the mobile operator 111 to receive network transfer services from the mobile operator 111 .
- the data usage plan describes the services provided by the mobile operator 111 , such as the amount of network data the user 104 can consume during a particular duration (e.g., a billing time period).
- the data usage plan describes threshold values 118 associated with network connections 130 of one or more devices of the user 104 .
- the network connections 130 represent communication channels or other means for sending and/or receiving data over the network 109 .
- Exemplary network connections 130 include, but are not limited to, Wi-Fi, cellular, tethered, BLUETOOTH brand communication, near-field communication (NFC), and more.
- the network connections 130 may also be categorized into voice, text, data, or other categories or types of network traffic.
- the threshold values 118 represent the maximum amount of data consumption allotted for the network connections 130 .
- one threshold value 118 may indicate the maximum amount of data consumption for a Wi-Fi connection, while another threshold value 118 indicates a maximum amount of data consumption for a cellular data connection.
- Each of the populated schemas 116 is associated with a different data usage plan,
- the mobile computing device 102 may have more than one cellular connection, and each of the cellular connections work independently (e.g., multiple radios operating independently of each other).
- Exemplary environments include dual subscriber identity module (SIM) dual active devices (both connections independently active) or dual SIM dual standby devices (one connection is in a standby mode). Additional examples include virtual SIMs, universal integrated circuit cards (UICCs), and other variants of user identity modules.
- SIM subscriber identity module
- UICC universal integrated circuit cards
- the schema 116 includes a plurality of fields.
- Each of the threshold values 118 may be associated with one or more of the fields.
- the fields may correspond to one or more of the following: peak times, off-peak times, peak time data consumption quota, off-peak time data consumption quota, peak time data consumption remaining, off-peak time data consumption remaining, a roaming rate and rules, a mobile operator name, a billing cycle type, a network connection type, identification of free or reduced-cost hosts available for connection, a list of mobile hotspots, and any other elements or information pertaining to the data usage plan.
- the set of free or reduced-cost hosts represents zero-rated or other reduced cost hosts (e.g., visiting particular web sites does not count against the data usage plan) or data types (e.g., multimedia messaging service data).
- the zero-rated or reduced-cost hosts or data may be identified in a form of a blacklist.
- the schema 116 may also include fields supporting different billing rates per host accessed, and allow each mobile operator 111 the flexibility to define complex plans including broadly offered plans, and dynamic, short-term offers to specific users 104 likely to use a specific part or parts of the overall services. Other offers based on any combination of the metrics obtained are available to the mobile operator 111 .
- the schema 116 may also include fields corresponding to the data usage statistics 120 collected or generated by the mobile computing device 102 , the web service 108 , and/or the mobile operator 111 .
- schema 116 may take any form or structure, the schema 116 may be implemented as XML schema.
- Appendix A includes an exemplary XML schema for use in aspects of the disclosure.
- the data usage statistics 120 identify, to a granularity of time (e.g., per minute) or data (e.g., per kilobyte), how much data has been sent and/or received by the mobile computing device 102 or the other computing devices 106 , and over which network connections 130 . Other data usage statistics 120 are contemplated, however.
- the data usage statistics 120 may be generated by the mobile computing device 102 , by the web service 108 , and/or by the mobile operator 111 .
- the mobile computing device 102 may collect the data usage statistics 120 representing network data consumed by the mobile computing device 102 , and then update the data usage statistics 120 with information received from the web service 108 representing network data consumed by the other computing devices 106 of the user 104 (e.g., associated with the same data usage plan).
- the web service 108 may send a notification to the mobile computing device 102 to synchronize the data usage statistics 120 directly with the mobile operator 111 or with the web service 108 .
- the memory area 112 further stores one or more computer-executable components.
- Exemplary components include a collection component 122 , a data structure component 124 , a communications interface component 126 , and a user interface component 128 . Operation of the components, when executed, is described below with reference to FIG. 3 .
- the communications interface component 126 includes a network interface card and/or computer-executable instructions (e.g., a driver) for operating the network interface card.
- the communications interface is operable with near-field communication (NFC) tags.
- NFC near-field communication
- the user interface component 128 may include a graphics card for displaying data to the user 104 and receiving data from the user 104 .
- the user interface component 128 may also include computer-executable instructions (e.g., a driver) for operating the graphics card.
- the user interface component 128 may include a display (e.g., a touch screen display or natural user interface) and/or computer-executable instructions (e.g., a driver) for operating the display.
- the user interface component 128 may also include one or more of the following to provide data to the user 104 or receive data from the user 104 : speakers, a sound card, a camera, a microphone, a vibration motor, one or more accelerometers, a BLUETOOTH brand communication module, global positioning system (GPS) hardware, and a photoreceptive light sensor.
- the user 104 may input commands or manipulate data by moving the computing device in a particular way.
- an exemplary flow chart illustrates operation of the web service 108 to track network data consumed by the user computing devices under the data usage plan.
- the web service 108 defines the schema 116 representing the data usage plan. Defining the schema 116 includes, for example, defining the schema 116 for use by the mobile operator 111 . Alternatively or in addition, defining the schema 116 includes receiving the schema 116 from the mobile operator 111 . The schema 116 represents the data usage plan associated with one or more of the users 104 .
- the web service 108 dynamically generates the data usage statistics 120 for the user 104 .
- the data usage statistics 120 represent data consumed under the data usage plan by one or more of the computing devices associated with the user 104 .
- the data usage statistics 120 may be viewed as a current or instant snapshot of the amount of data transmitted and/or received by the computing devices of the user 104 that share the data usage plan.
- the web service 108 may collect information relating to text messages, voice calls, minutes used, voice over Internet Protocol (VoIP) usage, and any other element of usage consumed by, or that impacts, the user computing devices to produce the data usage statistics 120 .
- VoIP voice over Internet Protocol
- Dynamically generating the data usage statistics 120 may include receiving data from the user computing devices and/or from the mobile operator 111 .
- the data corresponds to at least a portion of the data usage statistics 120 and may be received in a format that conforms to the schema 116 .
- the mobile operator 111 may have more current and/or more accurate data usage statistics 120 for one or more of the user computing devices than the user computing devices.
- the mobile operator 111 may have more current and/or more accurate data usage statistics 120 for some of the network connections 130 than the user computing devices.
- the mobile operator 111 may push, or transmit upon demand, such data usage statistics 120 to the web service 108 .
- the web service 108 integrates the data from the mobile operator 111 and/or the user computing devices to produce the data usage statistics 120 .
- the web service 108 may further generate the data usage statistics 120 by comparing data collected from the mobile operators 111 to data collected from the user computing devices. For example, the web service 108 may receive first data corresponding to at least a portion of the data usage statistics 120 from the mobile operator 111 , and receive second data corresponding to at least a portion of the data usage statistics 120 from one or more of the user computing devices. If differences exist (e.g., the data from the mobile operator 111 may be 24-48 hours old), the web service 108 reconciles the differences to provide the user 104 with the most current information. Continuing the example from above, the web service 108 may reconcile the received first data and the received second data to produce the dynamically generated data usage statistics.
- differences exist e.g., the data from the mobile operator 111 may be 24-48 hours old
- the web service 108 reconciles the differences to provide the user 104 with the most current information.
- the web service 108 may reconcile the received first data and the received second data to produce the dynamically generated data usage statistics.
- Reconciling the differences in data received from the mobile operators 111 and/or the user computing devices includes, for example, examining time stamps or other collection dates and favoring, weighting, or choosing the more recently collected data.
- reconciling the received first data and the received second data includes, for example, comparing a timestamp associated with the received first data and a timestamp associated with the received second data.
- the web service 108 may integrate the data having the later, or more recent, timestamp into the data usage statistics 120 .
- the web service 108 updates the defined schema 116 with the dynamically generated data usage statistics 120 .
- the web service 108 populates a data structure conforming to the defined schema 116 with the data usage statistics 120 .
- the web service 108 distributes the updated schema 116 to the plurality of computing devices of the user 104 that share the same data usage plan. The plurality of computing devices may then update any locally stored copies of the data usage statistics 120 to reflect the current or up-to-date network data consumed under the data usage plan.
- the web service 108 may display the data usage statistics 120 to the user 104 .
- the data usage statistics 120 may be displayed to the user 104 in various user interfaces (e.g., see FIG. 4 , FIG. 5A , FIG. 5B , FIG. 5C , and FIG. 6 ).
- FIG. 2 illustrates the example scenario of the web service 108 collecting the data usage statistics 120 , updating the schema 116 , and distributing the schema 116 to the user computing devices, similar operations may be performed by the user computing devices, as next described with reference to FIG. 3 .
- an exemplary flow chart illustrates operation of a computing device to populate the schema 116 with statistics about the network data consumed by the computing device under the data usage plan. While next described with reference to the mobile computing device 102 executing the operations illustrated in FIG. 3 , the operations may also be executed by the other computing devices 106 of the user 104 .
- the mobile computing device 102 dynamically generates the data usage statistics 120 for the user 104 .
- the mobile computing device 102 collects ongoing usage data relating to network data transfers, such as from device radios, drivers, and accelerometers.
- the collected usage data includes, for example, the amount of data consumed, the time and date of usage, the location of usage, network interface used, the SIM card or other user identity module used for dual SIM scenarios, the international mobile station equipment identity (IMEI) or other device identifier for multi-device scenarios, the IP or other address of the access point used for Wi-Fi scenarios, the IP or other address of the target computer (e.g., for whitelist/blacklists in data usage), and the application responsible for the data transfer.
- IMEI international mobile station equipment identity
- the mobile computing device 102 populates the schema 116 (e.g., stored in the memory area 112 ) with the dynamically generated data usage statistics 120 .
- the mobile computing device 102 provides at least a portion of the populated schema 116 to the web service 108 for distribution to the other computing devices 106 of the user 104 .
- the mobile computing device 102 may distribute the populated schema 116 , or a portion thereof, to the other computing devices 106 of the user 104 .
- the mobile computing device 102 may also present the dynamically generated data usage statistics 120 to the user 104 in a user interface of the mobile computing device 102 .
- the mobile computing device 102 may also send and receive portions of the schema 116 representing the data usage plan. For example, the mobile computing device 102 may upload only a portion of the populated schema 116 to the web service 108 at a particular time or during a particular time interval. As another example, the mobile computing device 102 may download only a portion of the schema 116 from the web service 108 at a particular time or during a particular time interval.
- the mobile computing device 102 executes the computer-executable components illustrated in FIG. 1 to implement one or more of the operations illustrated in FIG. 3 .
- the collection component 122 when executed by the processor 110 , causes the processor 110 to dynamically generate the data usage statistics 120 .
- the data structure component 124 when executed by the processor 110 , causes the processor 110 to populate the schema 116 with the data usage statistics 120 dynamically generated by the collection component 122 .
- the communications interface component 126 when executed by the processor 110 , causes the processor 110 to transmit the schema 116 populated by the data structure component 124 to the web service 108 for distribution to the other computing devices 106 of the user 104 .
- the communications interface component 126 may also receive the schema 116 populated with details of the data usage plan from the web service 108 and/or from the mobile operator 111 .
- the communications interface component 126 may also receive updated versions of the schema 116 , or portions thereof
- the user interface component 128 when executed by the processor 110 , causes the processor 110 to display the data usage statistics 120 dynamically generated by the collection component 122 to the user 104 .
- the user interface component 128 may display data usage and a trending analysis.
- an exemplary user interface 402 illustrates a summary of network data usage with different types of network connections 130 . While the proportions of the user interfaces 402 , 502 , 504 , 506 illustrated in FIG. 4 , FIG. 5A , FIG. 5B , FIG. 5C , and FIG. 6 are shown to conform to a screen of the mobile computing device 102 (e.g., a mobile telephone), the content displayed within the user interfaces 402 , 502 , 504 , 506 may be shown in any format on any of the user computing devices.
- the mobile computing device 102 e.g., a mobile telephone
- data usage for a plurality of the network connections 130 is shown to the user 104 in the user interface 402 .
- data usage statistics 120 attributed to each of the network connections 130 is shown.
- the amounts of data transmitted and/or received over a cellular network connection, a tethered network connection, a Hotspot network connection, and a Wi-Fi network connection are shown.
- the amounts of data are represented by proportionally-sized horizontal bars.
- the user interface 402 also displays the threshold values 118 associated with each of the network connections 130 .
- the threshold values 118 are taken from the data usage plan.
- the data usage plan indicates that the user 104 has a maximum of 5 gigabytes (GB) of data usage available for the cellular network connection, 2 GB of data usage for the tethered network connection, 1 GB of data usage for the Hotspot network connection, and an unlimited amount of data usage for the Wi-Fi network connection.
- GB gigabytes
- the user interface 402 in FIG. 4 may also display a button or bar that, when selected by the user 104 (e.g., clicked or touched), the user interface 402 allows the user 104 to select options or other configuration settings for receiving notifications.
- the notifications are sent when the amounts of data transmitted and/or received over the various network connections 130 reaches particular values (e.g., set by the user 104 , mobile computing device 102 , mobile operator 111 , or other entity).
- an exemplary user interface 502 illustrates data usage by the mobile computing device 102 consuming network data under the data usage plan having a monthly limit. While the overviews of data usage illustrated in FIG. 5A , FIG. 5B , and FIG. 5C indicate that the data usage statistics 120 shown are per application, the user interfaces 502 , 504 , 506 may alternatively or in addition display an overview of aggregated data usage across the applications 114 on the mobile computing device 102 . Further, the user interfaces 502 , 504 , 506 may alternatively or in addition display an overview of data usage per computing device of the user 104 or aggregated across a plurality of the computing devices of the user 104 . For example, the different statistics may be shown in different tabs or tiles in the user interface. In an example involving a family or shared data plan, the statistics for each plan member may be shown in separate tiles.
- the data usage statistics 120 include the amount of network data consumption remaining for use (e.g., the remainder of the monthly limit specified by the data usage plan), the amount of network data consumption used during the current billing period, and the quantity of time (e.g., days) remaining within the current billing period.
- the data usage statistics 120 also indicate a breakout of the data usage, such as the amount of data consumed under a cellular network connection versus the amount of data consumed under a Wi-Fi network connection.
- an exemplary user interface 504 illustrates data usage by the mobile computing device 102 consuming network data under a pay-as-you-go data usage plan.
- the data usage statistics 120 include the amount of network data consumption remaining for use (e.g., the remainder of the pay-as-you-go amount specified by the data usage plan), the amount of network data consumed recently (e.g., within the last 30 days), and the quantity of time (e.g., days) remaining. For example, the remaining bandwidth (e.g., data consumption) expires in 16 days.
- the data usage statistics 120 also indicate a breakout of the data usage, such as the amount of data consumed under a cellular network connection versus the amount of data consumed under a Wi-Fi network connection.
- an exemplary user interface 506 illustrates data usage by the mobile computing device 102 consuming network data under the data usage plan with unlimited data usage.
- the data usage statistics 120 include the amount of network data consumed recently (e.g., within the last 30 days).
- the data usage statistics 120 also indicate a breakout of the data usage, such as the amount of data consumed under a cellular network connection versus the amount of data consumed under a Wi-Fi network connection.
- the data usage statistics 120 also indicate a total amount of usage by the mobile computing device 102 .
- an exemplary block diagram illustrates the mobile computing device 102 as a mobile telephone 602 having a tile for displaying the data usage statistics 120 to the user 104 .
- the mobile telephone 602 displays a plurality of tiles (e.g., active tiles) that may be updated with the data usage statistics 120 .
- tiles represent tile user interface elements.
- the mobile telephone 602 indicates that 78% of the allotment for text messages has been consumed, while 55% of the allotment for data usage has been consumed.
- any of the tiles displaying the data usage statistics 120 may be pinned to a home screen of the mobile telephone 602 to enable the user 104 to instantly view whether data is being consumed, how much data has been consumed, how the data is being consumed, and how much data remains available under the data usage plan.
- the user 104 has a 750 megabyte (MB) monthly data usage plan for the mobile computing device 102 .
- the user 104 views the data usage plan in the user interface of the mobile computing device 102 , and is able to immediately view the threshold values 118 , the amount of data currently consumed under the data usage plan, and how much data consumption is remaining and over which of the network connections 130 (e.g., voice, text, data, etc.).
- the network connections 130 e.g., voice, text, data, etc.
- At least a portion of the functionality of the various elements in FIG. 1 may be performed by other elements in FIG. 1 , or an entity (e.g., processor, web service, server, application program, computing device, etc.) not shown in FIG. 1 .
- entity e.g., processor, web service, server, application program, computing device, etc.
- the operations illustrated in FIG. 2 and FIG. 3 may be implemented as software instructions encoded on a computer readable medium, in hardware programmed or designed to perform the operations, or both.
- aspects of the disclosure may be implemented as a system on a chip or other circuitry including a plurality of interconnected, electrically conductive elements.
- Roaming refers, in some embodiments, to connectivity provided outside a subscriber's home zone that may be subject to additional tariffs, fees, or constraints. Roaming service may or may not be provided by the same mobile operator 111 .
- the term “tethered” as used herein refers, in some embodiments, to situations where one device acts as an access point for another device for network access. A tethered connection may occur over a wired connection or a wireless connection.
- Wi-Fi refers, in some embodiments, to a wireless local area network using high frequency radio signals for the transmission of data.
- BLUETOOTH refers, in some embodiments, to a wireless technology standard for exchanging data over short distances using short wavelength radio transmission.
- cellular refers, in some embodiments, to a wireless communication system using short-range radio stations that, when joined together, enable the transmission of data over a wide geographic area.
- NFC refers, in some embodiments, to a short-range high frequency wireless communication technology for the exchange of data over short distances.
- Embodiments have been described with reference to data monitored and/or collected from users 104 .
- notice may be provided to the users 104 of the collection of the data (e.g., via a dialog box or preference setting) and users 104 are given the opportunity to give or deny consent for the monitoring and/or collection.
- the consent may take the form of opt-in consent or opt-out consent.
- Exemplary computer readable media include flash memory drives, digital versatile discs (DVDs), compact discs (CDs), floppy disks, and tape cassettes.
- Computer readable media comprise computer storage media and communication media.
- Computer storage media include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.
- Computer storage media are tangible and are mutually exclusive to communication media.
- Exemplary computer storage media include hard disks, flash drives, and other solid-state memory.
- communication media typically embody computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism and include any information delivery media.
- Examples of well-known computing systems, environments, and/or configurations that may be suitable for use with aspects of the invention include, but are not limited to, mobile computing devices, personal computers, server computers, hand-held or laptop devices, multiprocessor systems, gaming consoles, microprocessor-based systems, set top boxes, programmable consumer electronics, mobile telephones, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
- Such systems or devices may accept input from the user 104 in any way, including from input devices such as a keyboard or pointing device, via gesture input, and/or via voice input.
- Embodiments of the invention may be described in the general context of computer-executable instructions, such as program modules, executed by one or more computers or other devices.
- the computer-executable instructions may be organized into one or more computer-executable components or modules.
- program modules include, but are not limited to, routines, programs, objects, components, and data structures that perform particular tasks or implement particular abstract data types.
- aspects of the invention may be implemented with any number and organization of such components or modules. For example, aspects of the invention are not limited to the specific computer-executable instructions or the specific components or modules illustrated in the figures and described herein. Other embodiments of the invention may include different computer-executable instructions or components having more or less functionality than illustrated and described herein.
- aspects of the invention transform a general-purpose computer into a special-purpose computing device when configured to execute the instructions described herein.
- the articles “a,” “an,” “the,” and “said” are intended to mean that there are one or more of the elements.
- the terms “comprising,” “including,” and “having” are intended to be inclusive and mean that there may be additional elements other than the listed elements.
- the term “exemplary” is intended to mean “an example of”
- the phrase “one or more of the following: A, B, and C” means “at least one of A and/or at least one of B and/or at least one of C.”
- schema portions that are operable in aspects of the disclosure. While written in extensible markup language (XML) format, the schema may be implemented in other formats.
- XML extensible markup language
- SubjectName is compared against the DN provided as the certificate's Subject field, or against any Name provided in the SubjectAlternativeName extentions of type DirectoryName.
- IssuerName is compared against the DN provided as the certificate's Issuer field, or against any Name provided in the IssuerAlternativeName extentions of type DirectoryName.
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Mining & Analysis (AREA)
- Environmental & Geological Engineering (AREA)
- Physics & Mathematics (AREA)
- Probability & Statistics with Applications (AREA)
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Databases & Information Systems (AREA)
- Telephonic Communication Services (AREA)
- Mobile Radio Communication Systems (AREA)
- Telephone Function (AREA)
- Information Transfer Between Computers (AREA)
- Debugging And Monitoring (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
- Meter Arrangements (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
Embodiments provide a schema for representing data usage plans and data usage statistics. The data usage plan describes threshold values associated with network connections of computing devices of the user. A web service dynamically generates data usage statistics for the computing devices to represent data consumed by the computing devices under the data usage plan. The schema is updated with the data usage statistics and distributed to the computing devices for presentation to the user.
Description
- This application is a continuation of U.S. application Ser. No. 14/642,378, filed Mar. 9, 2015, which is a continuation of U.S. application Ser. No. 13/721,053, filed Dec. 20, 2012, which claims the benefit of U.S. Provisional Application No. 61/696,472, filed Sep. 4, 2012, U.S. Provisional Application No. 61/591,503, filed Jan. 27, 2012, and U.S. Provisional Application No. 61/591,509, filed Jan. 27, 2012. The entireties of all which are hereby incorporated by reference herein.
- This application is related to the following applications: U.S. patent application entitled “Managing Data Transfers Over Network Connections Based on Priority and a Data Usage Plan,” U.S. patent application entitled “On-Device Attribution of Network Data Usage,” U.S. patent application entitled “Predicting Network Data Consumption Relative to Data Usage Patterns,” U.S. patent application entitled “Updating Dynamic Data Usage Plans and Statistics,” U.S. patent application entitled “Data Usage Profiles for Users and Applications,” U.S. patent application entitled “Recommendations for Reducing Data Consumption Based on Data Usage Profiles,” U.S. patent application entitled “Dynamically Adjusting a Data Usage Plan Based on Data Usage Statistics,” and U.S. patent application entitled “Managing Network Data Transfers in View of Multiple Data Usage Plans.” All of these applications are incorporated by reference herein in their entirety.
- With the increased popularity of smart telephones, tablets, and other mobile devices, there has been a similar increase in the amount of data handled by the networks of mobile operators. To reduce the strain on network infrastructure and to reduce network transfer costs, mobile operators are shifting from offering unlimited mobile data plans to offering capped and metered plans. With some of the capped and metered plans, the fees for exceeding the allotted data caps may be significant. While some existing web browsers attempt to optimize data traffic, the existing systems generally lack mechanisms for balancing specific needs of each user with data transfer costs. Further, some of the existing systems are unable to accurately track and attribute the amount of data consumed under the plans.
- As a result, with the existing systems, users can unknowingly exceed the allotted data caps and experience bandwidth throttling (e.g., a reduction or limit placed upon the rate of consumption) and/or be presented with a much larger than normal monthly bill, resulting in “bill shock.” Throttling and bill shock can impact the user experience, leading to dissatisfied customers, increased customer service calls, and negative impressions of the mobile operators.
- Embodiments of the disclosure generate and represent data usage statistics with a schema. The schema represents a data usage plan associated with at least one user. The data usage plan describes threshold values associated with network connections of a plurality of computing devices of the user. The web service collects data from a mobile operator and/or the plurality of computing devices of the user. The data usage statistics are generated from the collected data, and represent data consumed under the data usage plan. The schema is updated with the generated data usage statistics and distributed to the plurality of the computing devices.
- This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
-
FIG. 1 is an exemplary block diagram illustrating user computing devices communicating over one or more networks. -
FIG. 2 is an exemplary flow chart illustrating operation of a web service to track network data consumed by a plurality of user computing devices under a data usage plan. -
FIG. 3 is an exemplary flow chart illustrating operation of a computing device to populate a schema with statistics about the network data consumed by the computing device under a data usage plan. -
FIG. 4 is an exemplary user interface illustrating a summary of network data usage with different types of network connections. -
FIG. 5A is an exemplary user interface illustrating data usage by a mobile computing device consuming network data under a data usage plan with a monthly limit. -
FIG. 5B is an exemplary user interface illustrating data usage by a mobile computing device consuming network data under a pay-as-you-go data usage plan. -
FIG. 5C is an exemplary user interface illustrating data usage by a mobile computing device consuming network data under a data usage plan with unlimited data usage. -
FIG. 6 is an exemplary block diagram illustrates a mobile computing device having a tile for displaying network data usage statistics to a user. - Corresponding reference characters indicate corresponding parts throughout the drawings.
- Referring to the figures, embodiments of the disclosure enable the collection into a
schema 116 of data relating to network transfers by a plurality of computing devices. In some embodiments, a centralized service such as aweb service 108 monitors data consumption by one or more of the computing devices under a data usage plan. For example, theweb service 108 may receivedata usage statistics 120 from the computing devices and/or from one or moremobile operators 111 associated with the data usage plan. Theweb service 108 presents thedata usage statistics 120 to auser 104 relative tothreshold values 118 associated with the data usage plan to provide theuser 104 with an indication of the data usage and trending. In other embodiments, the computing devices, such as amobile computing device 102, generate thedata usage statistics 120 for presentation to theuser 104. - Aspects of the disclosure employ the
schema 116 such as an extensible markup language (XML) schema to represent the data usage plan and, in some embodiments, to represent thedata usage statistics 120. Theschema 116 enables descriptions of the parts, components, services, features, or other aspects of the data usage plan including, but not limited to, multi-rate data plans, peak times, roaming rates, allotted data consumption pernetwork connection 130, etc. In some embodiments, theschema 116 allows themobile operators 111 to send out updated portions of theschema 116 corresponding to updated parts of the data usage plan. - Referring to
FIG. 1 , an exemplary block diagram illustrates user computing devices communicating over one ormore networks 109. In some embodiments, one or more of the user computing devices are associated with a data usage plan. For example, a plurality of the user computing devices may share data allotted under the same or common data usage plan. - The user computing devices include any device executing instructions (e.g., as application programs, operating system functionality, or both) to implement operations and functionality. The user computing devices may include, for example, the
mobile computing device 102 or any other portable device. In some embodiments, themobile computing device 102 includes a mobile telephone, laptop, tablet, computing pad, netbook, gaming device, e-reader, and/or portable media player.Other computing devices 106 may include less portable devices such as desktop personal computers, kiosks, and tabletop devices that have network connectivity capabilities. Additionally, each user computing device may represent a group of processing units. While aspects of the disclosure may be described herein with reference to themobile computing device 102, the descriptions are applicable to any of the user computing devices. - Communication between the
mobile computing device 102 and other devices may occur using any protocol or mechanism over one or more of thenetworks 109. Thenetworks 109 represent any infrastructure or other means for sending and/or receiving data. Thenetworks 109 may include wired and/or wireless networks. - The user computing devices communicate with the
web service 108, or other entity that tracks network data consumption by the user computing devices. Further, one or more of themobile operators 111 communicate with theweb service 108 and/or the user computing devices. - In some embodiments, the
mobile computing device 102 has at least oneprocessor 110 and amemory area 112. Theprocessor 110 includes any quantity of processing units, and is programmed to execute computer-executable instructions for implementing aspects of the disclosure. The instructions may be performed by theprocessor 110 or by multiple processors executing within themobile computing device 102, or performed by a processor external to themobile computing device 102. In some embodiments, theprocessor 110 is programmed to execute instructions such as those illustrated in the figures (e.g.,FIG. 3 ). - In some embodiments, the
processor 110 represents an implementation of analog techniques to perform the operations described herein. For example, the operations may be performed by an analog computing device and/or a digital computing device. - The
mobile computing device 102 further has one or more computer readable media such as thememory area 112. Thememory area 112 includes any quantity of media associated with or accessible by themobile computing device 102. Thememory area 112 may be internal to the mobile computing device 102 (as shown inFIG. 1 ), external to the mobile computing device 102 (not shown), or both (not shown). In some embodiments, thememory area 112 includes read-only memory and/or memory wired into an analog computing device. - The
memory area 112 stores, among other data, one ormore applications 114. Theapplications 114, when executed by theprocessor 110, operate to perform functionality on themobile computing device 102.Exemplary applications 114 include mail application programs, web browsers, calendar application programs, address book application programs, messaging programs, media applications, location-based services, search programs, and the like. Theapplications 114 may communicate with counterpart applications or services such as theweb services 108 accessible via thenetwork 109. For example, theapplications 114 may represent downloaded client-side applications that correspond to server-side services executing in a cloud. - The
memory area 112 further stores at least oneschema 116. Theschema 116 represents a data usage plan associated with theuser 104, and may be populated with thedata usage statistics 120. For example, theuser 104 has contracted with themobile operator 111 to receive network transfer services from themobile operator 111. The data usage plan describes the services provided by themobile operator 111, such as the amount of network data theuser 104 can consume during a particular duration (e.g., a billing time period). For example, the data usage plan describes threshold values 118 associated withnetwork connections 130 of one or more devices of theuser 104. Thenetwork connections 130 represent communication channels or other means for sending and/or receiving data over thenetwork 109.Exemplary network connections 130 include, but are not limited to, Wi-Fi, cellular, tethered, BLUETOOTH brand communication, near-field communication (NFC), and more. Thenetwork connections 130 may also be categorized into voice, text, data, or other categories or types of network traffic. The threshold values 118 represent the maximum amount of data consumption allotted for thenetwork connections 130. For example, onethreshold value 118 may indicate the maximum amount of data consumption for a Wi-Fi connection, while anotherthreshold value 118 indicates a maximum amount of data consumption for a cellular data connection. - Aspects of the disclosure are operable with any quantity of
populated schemas 116. Each of thepopulated schemas 116 is associated with a different data usage plan, For example, themobile computing device 102 may have more than one cellular connection, and each of the cellular connections work independently (e.g., multiple radios operating independently of each other). In such embodiments, there may be multiple data usage plans active per cellular connection. Exemplary environments include dual subscriber identity module (SIM) dual active devices (both connections independently active) or dual SIM dual standby devices (one connection is in a standby mode). Additional examples include virtual SIMs, universal integrated circuit cards (UICCs), and other variants of user identity modules. - In some embodiments, the
schema 116 includes a plurality of fields. Each of the threshold values 118 may be associated with one or more of the fields. For example, the fields may correspond to one or more of the following: peak times, off-peak times, peak time data consumption quota, off-peak time data consumption quota, peak time data consumption remaining, off-peak time data consumption remaining, a roaming rate and rules, a mobile operator name, a billing cycle type, a network connection type, identification of free or reduced-cost hosts available for connection, a list of mobile hotspots, and any other elements or information pertaining to the data usage plan. The set of free or reduced-cost hosts represents zero-rated or other reduced cost hosts (e.g., visiting particular web sites does not count against the data usage plan) or data types (e.g., multimedia messaging service data). In some embodiments, the zero-rated or reduced-cost hosts or data may be identified in a form of a blacklist. - The
schema 116 may also include fields supporting different billing rates per host accessed, and allow eachmobile operator 111 the flexibility to define complex plans including broadly offered plans, and dynamic, short-term offers tospecific users 104 likely to use a specific part or parts of the overall services. Other offers based on any combination of the metrics obtained are available to themobile operator 111. - The
schema 116 may also include fields corresponding to thedata usage statistics 120 collected or generated by themobile computing device 102, theweb service 108, and/or themobile operator 111. - While the
schema 116 may take any form or structure, theschema 116 may be implemented as XML schema. Appendix A includes an exemplary XML schema for use in aspects of the disclosure. - The
data usage statistics 120 identify, to a granularity of time (e.g., per minute) or data (e.g., per kilobyte), how much data has been sent and/or received by themobile computing device 102 or theother computing devices 106, and over whichnetwork connections 130. Otherdata usage statistics 120 are contemplated, however. Thedata usage statistics 120 may be generated by themobile computing device 102, by theweb service 108, and/or by themobile operator 111. For example, themobile computing device 102 may collect thedata usage statistics 120 representing network data consumed by themobile computing device 102, and then update thedata usage statistics 120 with information received from theweb service 108 representing network data consumed by theother computing devices 106 of the user 104 (e.g., associated with the same data usage plan). - In some embodiments, if the
web service 108 detects that themobile computing device 102 has old or outdateddata usage statistics 120, theweb service 108 may send a notification to themobile computing device 102 to synchronize thedata usage statistics 120 directly with themobile operator 111 or with theweb service 108. - The
memory area 112 further stores one or more computer-executable components. Exemplary components include acollection component 122, adata structure component 124, acommunications interface component 126, and auser interface component 128. Operation of the components, when executed, is described below with reference toFIG. 3 . - In some embodiments, the
communications interface component 126 includes a network interface card and/or computer-executable instructions (e.g., a driver) for operating the network interface card. In some embodiments, the communications interface is operable with near-field communication (NFC) tags. - The
user interface component 128 may include a graphics card for displaying data to theuser 104 and receiving data from theuser 104. Theuser interface component 128 may also include computer-executable instructions (e.g., a driver) for operating the graphics card. Further, theuser interface component 128 may include a display (e.g., a touch screen display or natural user interface) and/or computer-executable instructions (e.g., a driver) for operating the display. Theuser interface component 128 may also include one or more of the following to provide data to theuser 104 or receive data from the user 104: speakers, a sound card, a camera, a microphone, a vibration motor, one or more accelerometers, a BLUETOOTH brand communication module, global positioning system (GPS) hardware, and a photoreceptive light sensor. For example, theuser 104 may input commands or manipulate data by moving the computing device in a particular way. - Referring next to
FIG. 2 , an exemplary flow chart illustrates operation of theweb service 108 to track network data consumed by the user computing devices under the data usage plan. At 202, theweb service 108 defines theschema 116 representing the data usage plan. Defining theschema 116 includes, for example, defining theschema 116 for use by themobile operator 111. Alternatively or in addition, defining theschema 116 includes receiving theschema 116 from themobile operator 111. Theschema 116 represents the data usage plan associated with one or more of theusers 104. - At 204, the
web service 108 dynamically generates thedata usage statistics 120 for theuser 104. Thedata usage statistics 120 represent data consumed under the data usage plan by one or more of the computing devices associated with theuser 104. Thedata usage statistics 120 may be viewed as a current or instant snapshot of the amount of data transmitted and/or received by the computing devices of theuser 104 that share the data usage plan. Theweb service 108 may collect information relating to text messages, voice calls, minutes used, voice over Internet Protocol (VoIP) usage, and any other element of usage consumed by, or that impacts, the user computing devices to produce thedata usage statistics 120. - Dynamically generating the
data usage statistics 120 may include receiving data from the user computing devices and/or from themobile operator 111. The data corresponds to at least a portion of thedata usage statistics 120 and may be received in a format that conforms to theschema 116. For example, themobile operator 111 may have more current and/or more accuratedata usage statistics 120 for one or more of the user computing devices than the user computing devices. As another example, themobile operator 111 may have more current and/or more accuratedata usage statistics 120 for some of thenetwork connections 130 than the user computing devices. Themobile operator 111 may push, or transmit upon demand, suchdata usage statistics 120 to theweb service 108. Theweb service 108 integrates the data from themobile operator 111 and/or the user computing devices to produce thedata usage statistics 120. - The
web service 108 may further generate thedata usage statistics 120 by comparing data collected from themobile operators 111 to data collected from the user computing devices. For example, theweb service 108 may receive first data corresponding to at least a portion of thedata usage statistics 120 from themobile operator 111, and receive second data corresponding to at least a portion of thedata usage statistics 120 from one or more of the user computing devices. If differences exist (e.g., the data from themobile operator 111 may be 24-48 hours old), theweb service 108 reconciles the differences to provide theuser 104 with the most current information. Continuing the example from above, theweb service 108 may reconcile the received first data and the received second data to produce the dynamically generated data usage statistics. - Reconciling the differences in data received from the
mobile operators 111 and/or the user computing devices includes, for example, examining time stamps or other collection dates and favoring, weighting, or choosing the more recently collected data. Continuing the above example, reconciling the received first data and the received second data includes, for example, comparing a timestamp associated with the received first data and a timestamp associated with the received second data. Theweb service 108 may integrate the data having the later, or more recent, timestamp into thedata usage statistics 120. - At 206, the
web service 108 updates the definedschema 116 with the dynamically generateddata usage statistics 120. For example, theweb service 108 populates a data structure conforming to the definedschema 116 with thedata usage statistics 120. At 208, theweb service 108 distributes the updatedschema 116 to the plurality of computing devices of theuser 104 that share the same data usage plan. The plurality of computing devices may then update any locally stored copies of thedata usage statistics 120 to reflect the current or up-to-date network data consumed under the data usage plan. - At 210, the
web service 108 may display thedata usage statistics 120 to theuser 104. For example, thedata usage statistics 120 may be displayed to theuser 104 in various user interfaces (e.g., seeFIG. 4 ,FIG. 5A ,FIG. 5B ,FIG. 5C , andFIG. 6 ). - While
FIG. 2 illustrates the example scenario of theweb service 108 collecting thedata usage statistics 120, updating theschema 116, and distributing theschema 116 to the user computing devices, similar operations may be performed by the user computing devices, as next described with reference toFIG. 3 . - Referring next to
FIG. 3 , an exemplary flow chart illustrates operation of a computing device to populate theschema 116 with statistics about the network data consumed by the computing device under the data usage plan. While next described with reference to themobile computing device 102 executing the operations illustrated inFIG. 3 , the operations may also be executed by theother computing devices 106 of theuser 104. - At 302, the
mobile computing device 102 dynamically generates thedata usage statistics 120 for theuser 104. For example, themobile computing device 102 collects ongoing usage data relating to network data transfers, such as from device radios, drivers, and accelerometers. The collected usage data includes, for example, the amount of data consumed, the time and date of usage, the location of usage, network interface used, the SIM card or other user identity module used for dual SIM scenarios, the international mobile station equipment identity (IMEI) or other device identifier for multi-device scenarios, the IP or other address of the access point used for Wi-Fi scenarios, the IP or other address of the target computer (e.g., for whitelist/blacklists in data usage), and the application responsible for the data transfer. - At 304, the
mobile computing device 102 populates the schema 116 (e.g., stored in the memory area 112) with the dynamically generateddata usage statistics 120. At 306, themobile computing device 102 provides at least a portion of thepopulated schema 116 to theweb service 108 for distribution to theother computing devices 106 of theuser 104. Alternatively or in addition, themobile computing device 102 may distribute thepopulated schema 116, or a portion thereof, to theother computing devices 106 of theuser 104. Themobile computing device 102 may also present the dynamically generateddata usage statistics 120 to theuser 104 in a user interface of themobile computing device 102. - The
mobile computing device 102 may also send and receive portions of theschema 116 representing the data usage plan. For example, themobile computing device 102 may upload only a portion of thepopulated schema 116 to theweb service 108 at a particular time or during a particular time interval. As another example, themobile computing device 102 may download only a portion of theschema 116 from theweb service 108 at a particular time or during a particular time interval. - In some embodiments, the
mobile computing device 102 executes the computer-executable components illustrated inFIG. 1 to implement one or more of the operations illustrated inFIG. 3 . For example, thecollection component 122, when executed by theprocessor 110, causes theprocessor 110 to dynamically generate thedata usage statistics 120. Thedata structure component 124, when executed by theprocessor 110, causes theprocessor 110 to populate theschema 116 with thedata usage statistics 120 dynamically generated by thecollection component 122. Thecommunications interface component 126, when executed by theprocessor 110, causes theprocessor 110 to transmit theschema 116 populated by thedata structure component 124 to theweb service 108 for distribution to theother computing devices 106 of theuser 104. Thecommunications interface component 126 may also receive theschema 116 populated with details of the data usage plan from theweb service 108 and/or from themobile operator 111. Thecommunications interface component 126 may also receive updated versions of theschema 116, or portions thereof - The
user interface component 128, when executed by theprocessor 110, causes theprocessor 110 to display thedata usage statistics 120 dynamically generated by thecollection component 122 to theuser 104. For example, theuser interface component 128 may display data usage and a trending analysis. - Referring next to
FIG. 4 , anexemplary user interface 402 illustrates a summary of network data usage with different types ofnetwork connections 130. While the proportions of theuser interfaces FIG. 4 ,FIG. 5A ,FIG. 5B ,FIG. 5C , andFIG. 6 are shown to conform to a screen of the mobile computing device 102 (e.g., a mobile telephone), the content displayed within theuser interfaces - In
FIG. 4 , data usage for a plurality of thenetwork connections 130 is shown to theuser 104 in theuser interface 402. In particular,data usage statistics 120 attributed to each of thenetwork connections 130 is shown. For example, the amounts of data transmitted and/or received over a cellular network connection, a tethered network connection, a Hotspot network connection, and a Wi-Fi network connection are shown. The amounts of data are represented by proportionally-sized horizontal bars. - The
user interface 402 also displays the threshold values 118 associated with each of thenetwork connections 130. The threshold values 118 are taken from the data usage plan. For example, the data usage plan indicates that theuser 104 has a maximum of 5 gigabytes (GB) of data usage available for the cellular network connection, 2 GB of data usage for the tethered network connection, 1 GB of data usage for the Hotspot network connection, and an unlimited amount of data usage for the Wi-Fi network connection. - The
user interface 402 inFIG. 4 may also display a button or bar that, when selected by the user 104 (e.g., clicked or touched), theuser interface 402 allows theuser 104 to select options or other configuration settings for receiving notifications. The notifications are sent when the amounts of data transmitted and/or received over thevarious network connections 130 reaches particular values (e.g., set by theuser 104,mobile computing device 102,mobile operator 111, or other entity). - Referring next to
FIG. 5A , anexemplary user interface 502 illustrates data usage by themobile computing device 102 consuming network data under the data usage plan having a monthly limit. While the overviews of data usage illustrated inFIG. 5A ,FIG. 5B , andFIG. 5C indicate that thedata usage statistics 120 shown are per application, theuser interfaces applications 114 on themobile computing device 102. Further, theuser interfaces user 104 or aggregated across a plurality of the computing devices of theuser 104. For example, the different statistics may be shown in different tabs or tiles in the user interface. In an example involving a family or shared data plan, the statistics for each plan member may be shown in separate tiles. - In
FIG. 5A , thedata usage statistics 120 include the amount of network data consumption remaining for use (e.g., the remainder of the monthly limit specified by the data usage plan), the amount of network data consumption used during the current billing period, and the quantity of time (e.g., days) remaining within the current billing period. Thedata usage statistics 120 also indicate a breakout of the data usage, such as the amount of data consumed under a cellular network connection versus the amount of data consumed under a Wi-Fi network connection. - Referring next to
FIG. 5B , anexemplary user interface 504 illustrates data usage by themobile computing device 102 consuming network data under a pay-as-you-go data usage plan. InFIG. 5B , thedata usage statistics 120 include the amount of network data consumption remaining for use (e.g., the remainder of the pay-as-you-go amount specified by the data usage plan), the amount of network data consumed recently (e.g., within the last 30 days), and the quantity of time (e.g., days) remaining. For example, the remaining bandwidth (e.g., data consumption) expires in 16 days. Thedata usage statistics 120 also indicate a breakout of the data usage, such as the amount of data consumed under a cellular network connection versus the amount of data consumed under a Wi-Fi network connection. - Referring next to
FIG. 5C , anexemplary user interface 506 illustrates data usage by themobile computing device 102 consuming network data under the data usage plan with unlimited data usage. InFIG. 5C , thedata usage statistics 120 include the amount of network data consumed recently (e.g., within the last 30 days). Thedata usage statistics 120 also indicate a breakout of the data usage, such as the amount of data consumed under a cellular network connection versus the amount of data consumed under a Wi-Fi network connection. Thedata usage statistics 120 also indicate a total amount of usage by themobile computing device 102. - Referring next to
FIG. 6 , an exemplary block diagram illustrates themobile computing device 102 as amobile telephone 602 having a tile for displaying thedata usage statistics 120 to theuser 104. Themobile telephone 602 displays a plurality of tiles (e.g., active tiles) that may be updated with thedata usage statistics 120. In some embodiments, tiles represent tile user interface elements. In the example ofFIG. 6 , themobile telephone 602 indicates that 78% of the allotment for text messages has been consumed, while 55% of the allotment for data usage has been consumed. - Further, any of the tiles displaying the
data usage statistics 120 may be pinned to a home screen of themobile telephone 602 to enable theuser 104 to instantly view whether data is being consumed, how much data has been consumed, how the data is being consumed, and how much data remains available under the data usage plan. - In an example scenario, the
user 104 has a 750 megabyte (MB) monthly data usage plan for themobile computing device 102. Theuser 104 views the data usage plan in the user interface of themobile computing device 102, and is able to immediately view the threshold values 118, the amount of data currently consumed under the data usage plan, and how much data consumption is remaining and over which of the network connections 130 (e.g., voice, text, data, etc.). - At least a portion of the functionality of the various elements in
FIG. 1 may be performed by other elements inFIG. 1 , or an entity (e.g., processor, web service, server, application program, computing device, etc.) not shown inFIG. 1 . - In some embodiments, the operations illustrated in
FIG. 2 andFIG. 3 may be implemented as software instructions encoded on a computer readable medium, in hardware programmed or designed to perform the operations, or both. For example, aspects of the disclosure may be implemented as a system on a chip or other circuitry including a plurality of interconnected, electrically conductive elements. - The term “roaming” as used herein refers, in some embodiments, to connectivity provided outside a subscriber's home zone that may be subject to additional tariffs, fees, or constraints. Roaming service may or may not be provided by the same
mobile operator 111. The term “tethered” as used herein refers, in some embodiments, to situations where one device acts as an access point for another device for network access. A tethered connection may occur over a wired connection or a wireless connection. The term “Wi-Fi” as used herein refers, in some embodiments, to a wireless local area network using high frequency radio signals for the transmission of data. The term “BLUETOOTH” as used herein refers, in some embodiments, to a wireless technology standard for exchanging data over short distances using short wavelength radio transmission. The term “cellular” as used herein refers, in some embodiments, to a wireless communication system using short-range radio stations that, when joined together, enable the transmission of data over a wide geographic area. The term “NFC” as used herein refers, in some embodiments, to a short-range high frequency wireless communication technology for the exchange of data over short distances. - Embodiments have been described with reference to data monitored and/or collected from
users 104. In some embodiments, notice may be provided to theusers 104 of the collection of the data (e.g., via a dialog box or preference setting) andusers 104 are given the opportunity to give or deny consent for the monitoring and/or collection. The consent may take the form of opt-in consent or opt-out consent. - Exemplary computer readable media include flash memory drives, digital versatile discs (DVDs), compact discs (CDs), floppy disks, and tape cassettes. By way of example and not limitation, computer readable media comprise computer storage media and communication media. Computer storage media include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media are tangible and are mutually exclusive to communication media. In some embodiments, computer storage media are implemented in hardware. Exemplary computer storage media include hard disks, flash drives, and other solid-state memory. In contrast, communication media typically embody computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism and include any information delivery media.
- Although described in connection with an exemplary computing system environment, embodiments of the disclosure are capable of implementation with numerous other general purpose or special purpose computing system environments, configurations, or devices.
- Examples of well-known computing systems, environments, and/or configurations that may be suitable for use with aspects of the invention include, but are not limited to, mobile computing devices, personal computers, server computers, hand-held or laptop devices, multiprocessor systems, gaming consoles, microprocessor-based systems, set top boxes, programmable consumer electronics, mobile telephones, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. Such systems or devices may accept input from the
user 104 in any way, including from input devices such as a keyboard or pointing device, via gesture input, and/or via voice input. - Embodiments of the invention may be described in the general context of computer-executable instructions, such as program modules, executed by one or more computers or other devices. The computer-executable instructions may be organized into one or more computer-executable components or modules. Generally, program modules include, but are not limited to, routines, programs, objects, components, and data structures that perform particular tasks or implement particular abstract data types. Aspects of the invention may be implemented with any number and organization of such components or modules. For example, aspects of the invention are not limited to the specific computer-executable instructions or the specific components or modules illustrated in the figures and described herein. Other embodiments of the invention may include different computer-executable instructions or components having more or less functionality than illustrated and described herein.
- Aspects of the invention transform a general-purpose computer into a special-purpose computing device when configured to execute the instructions described herein.
- The embodiments illustrated and described herein as well as embodiments not specifically described herein but within the scope of aspects of the invention constitute exemplary means for defining the
schema 116 to describe individual portions of the data usage plan. - The order of execution or performance of the operations in embodiments of the invention illustrated and described herein is not essential, unless otherwise specified. That is, the operations may be performed in any order, unless otherwise specified, and embodiments of the invention may include additional or fewer operations than those disclosed herein. For example, it is contemplated that executing or performing a particular operation before, contemporaneously with, or after another operation is within the scope of aspects of the invention.
- When introducing elements of aspects of the invention or the embodiments thereof, the articles “a,” “an,” “the,” and “said” are intended to mean that there are one or more of the elements. The terms “comprising,” “including,” and “having” are intended to be inclusive and mean that there may be additional elements other than the listed elements. The term “exemplary” is intended to mean “an example of” The phrase “one or more of the following: A, B, and C” means “at least one of A and/or at least one of B and/or at least one of C.”
- Having described aspects of the invention in detail, it will be apparent that modifications and variations are possible without departing from the scope of aspects of the invention as defined in the appended claims. As various changes could be made in the above constructions, products, and methods without departing from the scope of aspects of the invention, it is intended that all matter contained in the above description and shown in the accompanying drawings shall be interpreted as illustrative and not in a limiting sense.
- Listed below are exemplary schema portions that are operable in aspects of the disclosure. While written in extensible markup language (XML) format, the schema may be implemented in other formats.
-
<?xml version=“1.0” encoding=“UTF-8”?> <xs:schema xmlns:xs=“Base/v1” elementFormDefault=“qualified” targetNamespace=“CarrierControl/Base/v1”> <!-- Basic types --> <xs:simpleType name=“NameType”> <xs:restriction base=“xs:normalizedString”> <xs:minLength value=“1”/> <xs:maxLength value=“255”/> <xs:whiteSpace value=“collapse”/> </xs:restriction> </xs:simpleType> <xs:simpleType name=“Priority”> <xs:restriction base=“xs:nonNegativeInteger”> <xs:maxExclusive value=“10”/> </xs:restriction> </xs:simpleType> <xs:simpleType name=“GUID”> <xs:annotation> <xs:documentation xml:lang=“en”> The representation of a GUID, generally the id of an element. </xs:documentation> </xs:annotation> <xs:restriction base=“xs:token”> <xs:pattern value=“\{[a-fA-F0-9]{8}−[a-fA-F0-9]{4}−[a-fA-F0-9]{4}−[a-fA-F0- 9]{4}−[a-fA-F0-9]{12}\}”/> </xs:restriction> </xs:simpleType> <xs:simpleType name=“SubscriberType”> <xs:restriction base=“xs:token”> <xs:maxLength value=“20”/> <xs:pattern value=“\w+”/> </xs:restriction> </xs:simpleType> <xs:complexType name=“CertificateDetails”> <xs:annotation> <xs:documentation> Used to identify a certificate or set of certificates. SubjectName is compared against the DN provided as the certificate's Subject field, or against any Name provided in the SubjectAlternativeName extentions of type DirectoryName. IssuerName is compared against the DN provided as the certificate's Issuer field, or against any Name provided in the IssuerAlternativeName extentions of type DirectoryName. </xs:documentation> </xs:annotation> <xs:sequence> <xs:element name=“SubjectName” type=“xs:string”/> <xs:element name=“IssuerName” type=“xs:string”/> </xs:sequence> </xs:complexType> <!-- Alias definitions --> <xs:element name=“AliasList”> <xs:complexType> <xs:sequence> <xs:element maxOccurs=“unbounded” ref=“AliasDefinition”/> </xs:sequence> </xs:complexType> </xs:element> <xs:complexType name=“AliasDefinitionBaseType”> <xs:attribute name=“Name” type=“xs:string”/> </xs:complexType> <xs:element name=“AliasDefinition” type=“AliasDefinitionBaseType” abstract=“true”/> <!-- Locations --> <xs:simpleType name=“ProviderNameType”> <xs:restriction base=“xs:normalizedString”> <xs:minLength value=“1”/> <xs:maxLength value=“20”/> <xs:whiteSpace value=“collapse”/> </xs:restriction> </xs:simpleType> <xs:simpleType name=“ProviderIdType”> <xs:restriction base=“xs:token”> <xs:pattern value=“\d{1,6}”/> </xs:restriction> </xs:simpleType> <xs:complexType name=“ProviderType”> <xs:sequence> <xs:element name=“ProviderID” type=“ProviderIdType”/> <xs:element name=“ProviderName” type=“ProviderNameType”/> </xs:sequence> </xs:complexType> <xs:complexType name=“LocationType”> <xs:choice maxOccurs=“unbounded”> <xs:element name=“Provider” type=“ProviderType”/> <xs:element name=“LocationAlias” type=“xs:string”/> </xs:choice> <xs:attribute name=“negate” type=“xs:boolean” default=“false”/> </xs:complexType> <xs:element name=“LocationAliasDefinition” type=“LocationAliasDefinitionType” substitutionGroup=“AliasDefinition”/> <xs:complexType name=“LocationAliasDefinitionType”> <xs:complexContent> <xs:extension base=“AliasDefinitionBaseType”> <xs:sequence> <xs:element name=“Location” type=“LocationType”/> </xs:sequence> </xs:extension> </xs:complexContent> </xs:complexType> <!-- Times --> <xs:complexType name=“TimeType”> <xs:choice maxOccurs=“unbounded”> <xs:element name=“TimePeriod” type=“TimePeriod”/> <xs:element name=“RecurringTimePeriod” type=“RecurringTimePeriod”/> <xs:element name=“TimeAlias” type=“xs:string”/> </xs:choice> <xs:attribute name=“negate” type=“xs:boolean” default=“false”/> </xs:complexType> <xs:element name=“TimeAliasDefinition” type=“TimeAliasDefinitionType” substitutionGroup=“AliasDefinition”/> <xs:complexType name=“TimeAliasDefinitionType”> <xs:complexContent> <xs:extension base=“AliasDefinitionBaseType”> <xs:sequence> <xs:element name=“Time” type=“TimeType” maxOccurs=“unbounded”/> </xs:sequence> </xs:extension> </xs:complexContent> </xs:complexType> <xs:simpleType name=“TimeOfWeek”> <xs:annotation> <xs:documentation> Defines a time as an offset from the midnight preceding 12:00:01 AM Sunday (P0D) to the midnight following 11:59:59 PM Saturday (P7D). </xs:documentation> </xs:annotation> <xs:restriction base=“xs:duration”> <xs:minInclusive value=“P0D”/> <xs:maxInclusive value=“P7D”/> </xs:restriction> </xs:simpleType> <xs:complexType name=“RecurringTimePeriod”> <xs:annotation> <xs:documentation> Defines a period of time within the week as a start/end TimeOfWeek. If EndTime is less than StartTime, the period is interpreted as crossing Saturday night. </xs:documentation> </xs:annotation> <xs:attribute name=“StartTime” type=“TimeOfWeek” use=“required”/> <xs:attribute name=“EndTime” type=“TimeOfWeek” use=“required”/> </xs:complexType> <xs:complexType name=“TimePeriod”> <xs:annotation> <xs:documentation> Defines a period of time as a start/end date and time. </xs:documentation> </xs:annotation> <xs:attribute name=“StartTime” type=“xs:dateTime” use=“required”/> <xs:attribute name=“EndTime” type=“xs:dateTime” use=“required”/> </xs:complexType> </xs:schema> <?xml version=“1.0” encoding=“UTF-8”?> <xs:schema xmlns:base=“Base/v1” elementFormDefault=“qualified” targetNamespace=“ CarrierControl/Plans/v1”> <xs:import schemaLocation=“Alias.xsd” namespace=“CarrierControl/Base/v1”/> <!-- Plan Definition --> <xs:complexType name=“BillingCycleType”> <xs:attribute name=“StartDate” use=“required” type=“xs:dateTime”/> <xs:attribute name=“Duration” use=“required”> <xs:simpleType> <xs:restriction base=“xs:duration”> <xs:minExclusive value=“PT0S”/> </xs:restriction> </xs:simpleType> </xs:attribute> <xs:attribute name=“Resets” type=“xs:boolean” default=“true”/> </xs:complexType> <xs:simpleType name=“CostStyleType”> <xs:annotation> <xs:documentation> CostType expresses the incremental cost of a plan: - Unrestricted: There is no incremental cost for consumption on this plan - Fixed: Consumption goes against a quota which the user has purchased / agreed to purchase - Variable: The user will be billed for incremental usage on this plan </xs:documentation> </xs:annotation> <xs:restriction base=“xs:string”> <xs:enumeration value=“Unrestricted”/> <xs:enumeration value=“Fixed”/> <xs:enumeration value=“Variable”/> </xs:restriction> </xs:simpleType> <xs:element name=“Plan”> <xs:complexType> <xs:sequence> <xs:element minOccurs=“0” ref=“Description”/> <xs:element minOccurs=“0” ref=“Usage”/> </xs:sequence> <xs:attribute name=“Name” use=“required” type=“xs:string”/> </xs:complexType> </xs:element> <xs:element name=“Description” type=“DescriptionBaseType” abstract=“true”/> <xs:complexType name=“DescriptionBaseType”> <xs:sequence> <xs:element name=“BillingCycle” type=“BillingCycleType” minOccurs=“0”/> <xs:element name=“Conditions” minOccurs=“0”> <xs:complexType> <xs:all> <xs:element name=“Location” type=“base:LocationType” minOccurs=“0”/> <xs:element name=“Time” type=“base:TimeType” minOccurs=“0”/> <xs:element name=“Direction” default=“inout” minOccurs=“0”> <xs:simpleType> <xs:restriction base=“xs:token”> <xs:enumeration value=“in”/> <xs:enumeration value=“out”/> <xs:enumeration value=“inout”/> </xs:restriction> </xs:simpleType> </xs:element> <xs:element name=“Destination” minOccurs=“0”> <xs:complexType> <xs:annotation> <xs:documentation> PhoneNumber only applies to SMS/Voice plans; HostName only applies to data plans </xs:documentation> </xs:annotation> <xs:sequence> <xs:element name=“PhoneNumber” minOccurs=“0”> <xs:simpleType> <xs:restriction base=“xs:string”> <xs:pattern value=“(\+)?\d+”/> </xs:restriction> </xs:simpleType> </xs:element> <xs:element name=“HostName” minOccurs=“0”> <xs:simpleType> <xs:restriction base=“xs:anyURI”/> </xs:simpleType> </xs:element> </xs:sequence> </xs:complexType> </xs:element> <xs:element name=“LimitedUsage” minOccurs=“0”> <xs:annotation> <xs:documentation> For Fixed plans, provides details on the user's quota: - Limit: The amount of the quota (in minutes for Voice plans, megabytes for Data plans, and messages for SMS plans) - SharedPlan: Another plan name whose quota is also consumed by usage on this plan - FallbackPlan: Another plan name whose consumption begins when this quota is exhausted. If a Fallback Plan is not provided, the current plan goes into an Overage state. </xs:documentation> </xs:annotation> <xs:complexType> <xs:attribute name=“Limit” use=“required” type=“xs:nonNegativeInteger”/> <xs:attribute name=“SharedPlan” type=“xs:string”/> <xs:attribute name=“FallbackPlan” type=“xs:string”/> </xs:complexType> </xs:element> </xs:all> </xs:complexType> </xs:element> </xs:sequence> <xs:attribute name=“CostStyle” use=“required” type=“CostStyleType”/> </xs:complexType> <xs:complexType name=“DataPlanDescriptionType”> <xs:complexContent> <xs:extension base=“DescriptionBaseType”> <xs:sequence> <xs:element name=“BandwidthInKbps” type=“xs:nonNegativeInteger” minOccurs=“0”/> <xs:element name=“MaxDownloadFileSizeInMegabytes” type=“xs:positiveInteger” default=“25” minOccurs=“0”/> <xs:element name=“SecurityUpdatesExempt” type=“xs:boolean” default=“false” minOccurs=“0”/> </xs:sequence> </xs:extension> </xs:complexContent> </xs:complexType> <xs:element name=“DataPlanDescription” type=“DataPlanDescriptionType” substitutionGroup=“Description”/> <xs:complexType name=“SmsPlanDescriptionType”> <xs:complexContent> <xs:extension base=“DescriptionBaseType”/> </xs:complexContent> </xs:complexType> <xs:element name=“SmsPlanDescription” type=“SmsPlanDescriptionType” substitutionGroup=“Description”/> <xs:complexType name=“VoicePlanDescriptionType”> <xs:complexContent> <xs:extension base=“DescriptionBaseType”/> </xs:complexContent> </xs:complexType> <xs:element name=“VoicePlanDescription” type=“VoicePlanDescriptionType” substitutionGroup=“Description”/> <xs:element name=“Usage” type=“PlanUsageType”/> <xs:complexType name=“PlanUsageType”> <xs:attribute name=“PlanName” use=“required” type=“xs:string”/> <xs:attribute name=“OverLimit” type=“xs:boolean”/> <xs:attribute name=“Congested” type=“xs:boolean”/> <xs:attribute name=“CurrentUsage” use=“required” type=“xs:nonNegativeInteger”/> <xs:attribute name=“UsageTimestamp” use=“required” type=“xs:dateTime”/> </xs:complexType> </xs:schema>
Claims (20)
1. A system comprising:
a memory area; and
a processor programmed to:
receive, from a plurality of computing devices that share a data usage plan, data usage statistics generated by the plurality of computing devices, the data usage statistics representing network data consumed by components of each of the plurality of computing devices;
aggregate the received data usage statistics; and
provide the aggregated data usage statistics to one or more of the plurality of computing devices.
2. The system of claim 1 , wherein the memory area stores a schema representing the data usage plan.
3. The system of claim 2 , wherein the schema includes a plurality of fields each comprising one or more of the following: peak times, off-peak times, peak time data consumption quota, off-peak time data consumption quota, peak time data consumption remaining, off-peak time data consumption remaining, a roaming rate, a mobile operator name, a billing cycle type, and a network connection type.
4. The system of claim 1 , wherein the aggregated data usage statistics are transmitted to each of the plurality of computing devices.
5. The system of claim 1 , wherein the data usage statistics generated by the plurality of computing devices represents an amount of data sent and received by each of the plurality of computing devices.
6. The system of claim 4 , wherein the data usage plan describes threshold values associated with one or more network connections of the plurality of computing devices, wherein the threshold values correspond to maximum data consumption allotted under the data usage plan for one or more network connections.
7. The system of claim 1 , wherein providing the aggregated data usage statistics comprises presenting the aggregated data usage statistics in a user interface.
8. The system of claim 1 , wherein the network data consumed by the components of each of the plurality of computing devices comprises one or more of the following: an amount of the network data consumed, time and date of the network data consumption, location of the network data consumption, network interface used, subscriber identity module (SIM) card or other user identity module used for dual SIM, an international mobile station equipment identity (IMEI), internet protocol (IP) or other address of an access point, and an application responsible for the network data consumption.
9. A method comprising:
receiving, from a plurality of computing devices that share a data usage plan, data usage statistics generated by the plurality of computing devices, the data usage statistics representing network data consumed by components of each of the plurality of computing devices;
aggregating the received data usage statistics; and
providing the aggregated data usage statistics to one or more of the plurality of computing devices.
10. The method of claim 9 , wherein the data usage statistics generated by the plurality of computing devices represents an amount of data sent and received by each of the plurality of computing devices.
11. The method of claim 9 , wherein providing the aggregated data usage statistics comprises presenting the aggregated data usage statistics in a user interface.
12. The method of claim 9 , wherein the aggregated data usage statistics include an amount of remaining network data for consumption and a quantity of time remaining for consumption of the remaining network data.
13. The method of claim 9 , wherein the aggregated data usage statistics are transmitted to each of the plurality of computing devices.
14. The method of claim 9 , wherein the network data consumed by the components of each of the plurality of computing devices comprises one or more of the following: an amount of the network data consumed, time and date of the network data consumption, location of the network data consumption, network interface used, subscriber identity module (SIM) card or other user identity module used for dual SIM, an international mobile station equipment identity (IMEI), internet protocol (IP) or other address of an access point, and an application responsible for the network data consumption.
15. One or more computer storage media having computer-executable instructions that cause one or more processors to perform operations comprising:
receiving, from a plurality of computing devices that share a data usage plan, data usage statistics generated by the plurality of computing devices, the data usage statistics representing network data consumed by components of each of the plurality of computing devices;
aggregating the received data usage statistics; and
providing the aggregated data usage statistics to one or more of the plurality of computing devices.
16. The computer storage media of claim 15 , wherein the data usage statistics generated by the plurality of computing devices represents an amount of data sent and received by each of the plurality of computing devices.
17. The computer storage media of claim 15 , wherein providing the aggregated data usage statistics comprises presenting the aggregated data usage statistics in a user interface.
18. The computer storage media of claim 15 , wherein the aggregated data usage statistics include an amount of remaining network data for consumption and a quantity of time remaining for consumption of the remaining network data.
19. The computer storage media of claim 15 , wherein the aggregated data usage statistics are transmitted to each of the plurality of computing devices.
20. The computer storage media of claim 16 , wherein providing the aggregated data usage statistics comprises displaying one or more of the following: one or more data usage plans associated with each of the computing devices, threshold values associated with a plurality of network connections of each of the computing devices, an amount of data currently consumed under the data usage plan, and how much data consumption is remaining and over which of the plurality of the network connections.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US15/350,001 US20170187596A1 (en) | 2012-01-27 | 2016-11-11 | Tracking data usage under a schematized data plan |
Applications Claiming Priority (6)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201261591509P | 2012-01-27 | 2012-01-27 | |
US201261591503P | 2012-01-27 | 2012-01-27 | |
US201261696472P | 2012-09-04 | 2012-09-04 | |
US13/721,053 US8977231B2 (en) | 2012-01-27 | 2012-12-20 | Tracking data usage under a schematized data plan |
US14/642,378 US9660889B2 (en) | 2012-01-27 | 2015-03-09 | Tracking data usage under a schematized data plan |
US15/350,001 US20170187596A1 (en) | 2012-01-27 | 2016-11-11 | Tracking data usage under a schematized data plan |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US14/642,378 Continuation US9660889B2 (en) | 2012-01-27 | 2015-03-09 | Tracking data usage under a schematized data plan |
Publications (1)
Publication Number | Publication Date |
---|---|
US20170187596A1 true US20170187596A1 (en) | 2017-06-29 |
Family
ID=48870629
Family Applications (20)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US13/721,083 Active 2034-06-01 US9264556B2 (en) | 2012-01-27 | 2012-12-20 | On-device attribution of network data usage |
US13/721,041 Active 2033-08-18 US9838287B2 (en) | 2012-01-27 | 2012-12-20 | Predicting network data consumption relative to data usage patterns |
US13/721,023 Active 2033-07-12 US9887894B2 (en) | 2012-01-27 | 2012-12-20 | Recommendations for reducing data consumption based on data usage profiles |
US13/721,032 Active US9049589B2 (en) | 2012-01-27 | 2012-12-20 | Dynamically adjusting a data usage plan based on data usage statistics |
US13/721,066 Active 2033-09-20 US9900231B2 (en) | 2012-01-27 | 2012-12-20 | Managing data transfers over network connections based on priority and a data usage plan |
US13/721,058 Active 2033-02-02 US9161200B2 (en) | 2012-01-27 | 2012-12-20 | Managing network data transfers in view of multiple data usage plans |
US13/721,029 Active 2032-12-26 US9544212B2 (en) | 2012-01-27 | 2012-12-20 | Data usage profiles for users and applications |
US13/721,069 Active US9369589B2 (en) | 2012-01-27 | 2012-12-20 | Updating dynamic data usage plans and statistics |
US13/721,053 Active 2033-01-15 US8977231B2 (en) | 2012-01-27 | 2012-12-20 | Tracking data usage under a schematized data plan |
US14/642,378 Active US9660889B2 (en) | 2012-01-27 | 2015-03-09 | Tracking data usage under a schematized data plan |
US14/835,693 Abandoned US20160112577A1 (en) | 2012-01-27 | 2015-08-25 | Managing network data transfers in view of multiple data usage plans |
US14/839,243 Active 2033-01-06 US9887895B2 (en) | 2012-01-27 | 2015-08-28 | Dynamically adjusting a data usage plan based on data usage statistics |
US14/988,462 Active US9825830B2 (en) | 2012-01-27 | 2016-01-05 | On-device attribution of network data usage |
US15/350,001 Abandoned US20170187596A1 (en) | 2012-01-27 | 2016-11-11 | Tracking data usage under a schematized data plan |
US15/365,919 Active US10069705B2 (en) | 2012-01-27 | 2016-11-30 | Data usage profiles for users and applications |
US15/589,994 Abandoned US20170373959A1 (en) | 2012-01-27 | 2017-05-08 | Tracking data usage under a schematized data plan |
US15/620,791 Active US10243824B2 (en) | 2012-01-27 | 2017-06-12 | On-device attribution of network data usage |
US15/876,094 Active US11223549B2 (en) | 2012-01-27 | 2018-01-19 | Managing data transfers over network connections based on priority and a data usage plan |
US16/221,444 Abandoned US20190230016A1 (en) | 2012-01-27 | 2018-12-14 | On-device attribution of network data usage |
US17/573,473 Pending US20220141110A1 (en) | 2012-01-27 | 2022-01-11 | Managing data transfers over network connections based on priority and a data usage plan |
Family Applications Before (13)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US13/721,083 Active 2034-06-01 US9264556B2 (en) | 2012-01-27 | 2012-12-20 | On-device attribution of network data usage |
US13/721,041 Active 2033-08-18 US9838287B2 (en) | 2012-01-27 | 2012-12-20 | Predicting network data consumption relative to data usage patterns |
US13/721,023 Active 2033-07-12 US9887894B2 (en) | 2012-01-27 | 2012-12-20 | Recommendations for reducing data consumption based on data usage profiles |
US13/721,032 Active US9049589B2 (en) | 2012-01-27 | 2012-12-20 | Dynamically adjusting a data usage plan based on data usage statistics |
US13/721,066 Active 2033-09-20 US9900231B2 (en) | 2012-01-27 | 2012-12-20 | Managing data transfers over network connections based on priority and a data usage plan |
US13/721,058 Active 2033-02-02 US9161200B2 (en) | 2012-01-27 | 2012-12-20 | Managing network data transfers in view of multiple data usage plans |
US13/721,029 Active 2032-12-26 US9544212B2 (en) | 2012-01-27 | 2012-12-20 | Data usage profiles for users and applications |
US13/721,069 Active US9369589B2 (en) | 2012-01-27 | 2012-12-20 | Updating dynamic data usage plans and statistics |
US13/721,053 Active 2033-01-15 US8977231B2 (en) | 2012-01-27 | 2012-12-20 | Tracking data usage under a schematized data plan |
US14/642,378 Active US9660889B2 (en) | 2012-01-27 | 2015-03-09 | Tracking data usage under a schematized data plan |
US14/835,693 Abandoned US20160112577A1 (en) | 2012-01-27 | 2015-08-25 | Managing network data transfers in view of multiple data usage plans |
US14/839,243 Active 2033-01-06 US9887895B2 (en) | 2012-01-27 | 2015-08-28 | Dynamically adjusting a data usage plan based on data usage statistics |
US14/988,462 Active US9825830B2 (en) | 2012-01-27 | 2016-01-05 | On-device attribution of network data usage |
Family Applications After (6)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US15/365,919 Active US10069705B2 (en) | 2012-01-27 | 2016-11-30 | Data usage profiles for users and applications |
US15/589,994 Abandoned US20170373959A1 (en) | 2012-01-27 | 2017-05-08 | Tracking data usage under a schematized data plan |
US15/620,791 Active US10243824B2 (en) | 2012-01-27 | 2017-06-12 | On-device attribution of network data usage |
US15/876,094 Active US11223549B2 (en) | 2012-01-27 | 2018-01-19 | Managing data transfers over network connections based on priority and a data usage plan |
US16/221,444 Abandoned US20190230016A1 (en) | 2012-01-27 | 2018-12-14 | On-device attribution of network data usage |
US17/573,473 Pending US20220141110A1 (en) | 2012-01-27 | 2022-01-11 | Managing data transfers over network connections based on priority and a data usage plan |
Country Status (12)
Country | Link |
---|---|
US (20) | US9264556B2 (en) |
EP (2) | EP2807561B1 (en) |
JP (2) | JP6195313B2 (en) |
KR (2) | KR102098414B1 (en) |
CN (2) | CN104081360B (en) |
AU (1) | AU2013212632B2 (en) |
BR (1) | BR112014018380A8 (en) |
CA (1) | CA2863455C (en) |
MX (2) | MX345476B (en) |
RU (1) | RU2614538C2 (en) |
TW (2) | TWI603642B (en) |
WO (2) | WO2013112390A1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10243824B2 (en) | 2012-01-27 | 2019-03-26 | Microsoft Technology Licensing, Llc | On-device attribution of network data usage |
Families Citing this family (234)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7127232B2 (en) | 2003-05-08 | 2006-10-24 | Bell South Intellectual Property Corporation | Multiple access internet portal revenue sharing |
US9723092B1 (en) * | 2011-04-07 | 2017-08-01 | Cellco Partnership | Universal data remote application framework |
US9736065B2 (en) | 2011-06-24 | 2017-08-15 | Cisco Technology, Inc. | Level of hierarchy in MST for traffic localization and load balancing |
US9953101B1 (en) * | 2011-06-27 | 2018-04-24 | Amazon Technologies, Inc. | Customized home screens for electronic devices |
DE112011105672T5 (en) * | 2011-09-28 | 2014-07-17 | Hewlett-Packard Development Company, L.P. | Management of data usage of a computing device |
CN103188647A (en) * | 2011-12-29 | 2013-07-03 | 北京网秦天下科技有限公司 | Method and system for statistically analyzing and warning Internet surfing flow of mobile terminal |
US8908698B2 (en) | 2012-01-13 | 2014-12-09 | Cisco Technology, Inc. | System and method for managing site-to-site VPNs of a cloud managed network |
CN103368869B (en) * | 2012-04-03 | 2017-09-19 | 富泰华工业(深圳)有限公司 | Network flow managing system and method |
US9445370B2 (en) * | 2012-04-06 | 2016-09-13 | Htc Corporation | Wireless data network switching method and electronic device thereof |
EP2862336B1 (en) * | 2012-06-13 | 2016-09-28 | Nokia Technologies Oy | Cloud services in mobile heterogeneous networks |
US9730106B2 (en) * | 2012-07-19 | 2017-08-08 | Telefonaktiebolaget Lm Ericsson (Publ) | Technique for load balancing between cellular network subscriptions in a router having both short range and cellular communication interfaces |
US9053307B1 (en) | 2012-07-23 | 2015-06-09 | Amazon Technologies, Inc. | Behavior based identity system |
US9229903B2 (en) * | 2012-08-31 | 2016-01-05 | General Motors Llc | Providing vehicle operating information using a wireless device |
JP6013613B2 (en) * | 2012-10-19 | 2016-10-25 | マカフィー, インコーポレイテッド | Mobile application management |
US8805323B2 (en) | 2012-11-06 | 2014-08-12 | Tracfone Wireless, Inc. | Hybrid network based metering server and tracking client for wireless services |
US9191853B2 (en) * | 2012-11-08 | 2015-11-17 | At&T Mobility Ii Llc | Managing network load using device application programs |
US10367914B2 (en) | 2016-01-12 | 2019-07-30 | Cisco Technology, Inc. | Attaching service level agreements to application containers and enabling service assurance |
US20150133076A1 (en) * | 2012-11-11 | 2015-05-14 | Michael Brough | Mobile device application monitoring software |
US9781223B2 (en) * | 2012-12-28 | 2017-10-03 | Facebook, Inc. | Conserving battery and data usage |
US9191874B2 (en) * | 2012-12-31 | 2015-11-17 | Ipass Inc. | Advanced network characterization and migration |
US11016637B2 (en) * | 2013-01-31 | 2021-05-25 | Samsung Electronics Co., Ltd. | Method of and device for managing applications |
US10545628B2 (en) * | 2013-01-31 | 2020-01-28 | Samsung Electronics Co., Ltd. | Method of and device for managing applications |
US9906254B2 (en) * | 2013-02-11 | 2018-02-27 | Apple Inc. | Facilitating multiple subscriber identity support in a wireless device |
US9220022B2 (en) * | 2013-03-13 | 2015-12-22 | Alcatel Lucent | LTE user presence detection for small cell placement |
US9681003B1 (en) * | 2013-03-14 | 2017-06-13 | Aeris Communications, Inc. | Method and system for managing device status and activity history using big data storage |
US12039544B2 (en) * | 2013-03-14 | 2024-07-16 | Aeris Communications, Inc. | Adaptive M2M billing |
US9083823B2 (en) | 2013-03-14 | 2015-07-14 | Aeris Communications, Inc. | Context oriented billing |
US9043439B2 (en) | 2013-03-14 | 2015-05-26 | Cisco Technology, Inc. | Method for streaming packet captures from network access devices to a cloud server over HTTP |
US11039017B2 (en) * | 2013-03-14 | 2021-06-15 | Aeris Communications, Inc. | Adaptive M2M billing |
EP3493564B1 (en) | 2013-03-15 | 2020-09-09 | Intel Corporation | Budgeting and quota management system for data consumption |
US9858052B2 (en) * | 2013-03-21 | 2018-01-02 | Razer (Asia-Pacific) Pte. Ltd. | Decentralized operating system |
CN105230082A (en) * | 2013-03-28 | 2016-01-06 | 诺基亚技术有限公司 | For providing the method and apparatus of subscription identity equipment recommendation |
US9872333B2 (en) | 2013-04-03 | 2018-01-16 | Apple Inc. | Method and system for scheduling application-generated data requests in discontinuous reception (DRX) mode |
US9479923B2 (en) * | 2013-04-17 | 2016-10-25 | Nokia Technologies Oy | Provisioning wireless subscriptions using software-based subscriber identity modules |
US9544418B2 (en) * | 2013-04-25 | 2017-01-10 | Intel Deutschland Gmbh | Dual communication circuit device selecting communication circuit based on communication activity history |
US9727848B2 (en) * | 2013-04-29 | 2017-08-08 | Alex Bligh | Field programmable hierarchical cloud billing system |
US9317415B2 (en) * | 2013-06-03 | 2016-04-19 | Google Inc. | Application analytics reporting |
KR102280465B1 (en) * | 2013-06-14 | 2021-07-22 | 삼성전자 주식회사 | A terminal and application synchronization method thereof |
US9262470B1 (en) * | 2013-06-25 | 2016-02-16 | Amazon Technologies, Inc. | Application recommendations based on application and lifestyle fingerprinting |
US9921827B1 (en) | 2013-06-25 | 2018-03-20 | Amazon Technologies, Inc. | Developing versions of applications based on application fingerprinting |
US10269029B1 (en) * | 2013-06-25 | 2019-04-23 | Amazon Technologies, Inc. | Application monetization based on application and lifestyle fingerprinting |
US20150004928A1 (en) * | 2013-07-01 | 2015-01-01 | Alcatel-Lucent Usa Inc. | Group data plan quota allocation for mobile devices |
KR102134886B1 (en) | 2013-07-08 | 2020-07-17 | 삼성전자주식회사 | Tethering distribution apparatus, control method thereof, and central mediator |
US9979622B2 (en) * | 2013-07-30 | 2018-05-22 | Cisco Technology, Inc. | Elastic WAN optimization cloud services |
US9380077B2 (en) * | 2013-08-08 | 2016-06-28 | Iboss, Inc. | Switching between networks |
US9247075B2 (en) * | 2013-08-27 | 2016-01-26 | International Business Machines Corporation | Data sharing with mobile devices |
WO2015033206A1 (en) * | 2013-09-06 | 2015-03-12 | Orange | Secure toll-free application data access |
US10073754B2 (en) | 2013-09-13 | 2018-09-11 | Assurant, Inc. | Systems and methods for collecting, tracking, and storing system performance and event data for computing devices |
US8910263B1 (en) | 2013-09-17 | 2014-12-09 | Iboss, Inc. | Mobile device management profile distribution |
US10021169B2 (en) * | 2013-09-20 | 2018-07-10 | Nuance Communications, Inc. | Mobile application daily user engagement scores and user profiles |
US9271179B2 (en) * | 2013-09-30 | 2016-02-23 | Apple Inc. | Customized coexistence management based on user behavior |
US9313646B2 (en) * | 2013-10-17 | 2016-04-12 | At&T Intellectual Property I, Lp | Method and apparatus for adjusting device persona |
CN105659643B (en) * | 2013-10-22 | 2019-09-24 | 诺基亚技术有限公司 | The method and apparatus of communication for the multiple mark profiles of management and utilization |
WO2014187258A1 (en) * | 2013-10-23 | 2014-11-27 | 中兴通讯股份有限公司 | Traffic control method and apparatus |
US10311482B2 (en) | 2013-11-11 | 2019-06-04 | At&T Intellectual Property I, Lp | Method and apparatus for adjusting a digital assistant persona |
US9565164B2 (en) * | 2013-11-12 | 2017-02-07 | Facebook, Inc. | Techniques to rate-adjust data usage with a virtual private network |
WO2015076714A1 (en) * | 2013-11-22 | 2015-05-28 | Telefonaktiebolaget L M Ericsson (Publ) | Centralised capability discovery |
US9471937B2 (en) | 2013-12-16 | 2016-10-18 | Verizon Patent And Licensing Inc. | Download account with shared data plan |
EP3087724B1 (en) * | 2013-12-23 | 2019-02-20 | Orange | Server, electronic device, computer programs and methods to push toll-free applications to a user device |
KR102203130B1 (en) * | 2013-12-24 | 2021-01-14 | 삼성전자주식회사 | Method for controlling an use of sim card and an electronic device thereof |
US9577946B1 (en) * | 2014-01-03 | 2017-02-21 | hopTo, Inc. | Account-specific login throttling |
US9491308B1 (en) * | 2014-01-23 | 2016-11-08 | Level 3 Communications, Llc | Telecommunication price-based routing apparatus, system and method |
US10565623B2 (en) * | 2014-01-28 | 2020-02-18 | Oath Inc. | Systems and methods for ad-supported mobile data plans or in-app purchases |
US10248474B2 (en) * | 2014-01-29 | 2019-04-02 | Microsoft Technology Licensing, Llc | Application event distribution system |
US9686692B2 (en) | 2014-03-20 | 2017-06-20 | Microsoft Technology Licesning, LLC | Wi-Fi tile transfer |
US9755858B2 (en) | 2014-04-15 | 2017-09-05 | Cisco Technology, Inc. | Programmable infrastructure gateway for enabling hybrid cloud services in a network environment |
KR102178142B1 (en) | 2014-04-30 | 2020-11-13 | 마이크로소프트 테크놀로지 라이센싱, 엘엘씨 | Optimizing capacity expansion in a mobile network |
US9473365B2 (en) | 2014-05-08 | 2016-10-18 | Cisco Technology, Inc. | Collaborative inter-service scheduling of logical resources in cloud platforms |
CN106465134B (en) * | 2014-05-28 | 2020-01-21 | 瑞典爱立信有限公司 | Terminal dual SIM-dual access handling |
US9439062B2 (en) * | 2014-05-30 | 2016-09-06 | Apple Inc. | Electronic subscriber identity module application identifier handling |
US9451445B2 (en) * | 2014-05-30 | 2016-09-20 | Apple Inc. | Electronic subscriber identity module selection |
US9690685B2 (en) * | 2014-05-30 | 2017-06-27 | Apple Inc. | Performance management based on resource consumption |
US10789642B2 (en) | 2014-05-30 | 2020-09-29 | Apple Inc. | Family accounts for an online content storage sharing service |
US10122605B2 (en) | 2014-07-09 | 2018-11-06 | Cisco Technology, Inc | Annotation of network activity through different phases of execution |
US9220123B1 (en) * | 2014-07-10 | 2015-12-22 | International Business Machines Corporation | Peer-to-peer sharing of network resources |
US10742763B2 (en) * | 2014-08-26 | 2020-08-11 | Paypal, Inc. | Data limit aware content rendering |
KR101605773B1 (en) * | 2014-09-25 | 2016-04-01 | 현대자동차주식회사 | Terminal, Vehicle having the same and method for controlling the same |
US9825878B2 (en) | 2014-09-26 | 2017-11-21 | Cisco Technology, Inc. | Distributed application framework for prioritizing network traffic using application priority awareness |
US9705971B2 (en) * | 2014-10-06 | 2017-07-11 | Toyota Jidosha Kabushiki Kaisha | Transferring digital data to and from mobile client devices |
CN106031227B (en) | 2014-10-31 | 2021-02-12 | 华为技术有限公司 | Data traffic management method and device |
US9774510B2 (en) * | 2014-11-05 | 2017-09-26 | App Annie Inc. | Facilitating collection and display of information related to data usage by a plurality of mobile devices |
US9426308B2 (en) * | 2014-11-07 | 2016-08-23 | International Business Machines Corporation | Enabling mobile computing devices to track data usage among mobile computing devices that share a data plan |
US9736320B2 (en) | 2014-11-14 | 2017-08-15 | Tracfone Wireless, Inc. | Wireless access point having metering capability and metering display |
US9848458B2 (en) * | 2014-12-01 | 2017-12-19 | Oceus Networks, Inc. | Wireless parameter-sensing node and network thereof |
US9667808B2 (en) * | 2014-12-18 | 2017-05-30 | Facebook, Inc. | Techniques for contextual mobile data access |
US10051134B2 (en) * | 2015-01-13 | 2018-08-14 | Tracfone Wireless, Inc. | Metering and metering display on computer for wireless access point |
US9875346B2 (en) | 2015-02-06 | 2018-01-23 | Apple Inc. | Setting and terminating restricted mode operation on electronic devices |
US10050862B2 (en) | 2015-02-09 | 2018-08-14 | Cisco Technology, Inc. | Distributed application framework that uses network and application awareness for placing data |
US10708342B2 (en) * | 2015-02-27 | 2020-07-07 | Cisco Technology, Inc. | Dynamic troubleshooting workspaces for cloud and network management systems |
US10037617B2 (en) * | 2015-02-27 | 2018-07-31 | Cisco Technology, Inc. | Enhanced user interface systems including dynamic context selection for cloud-based networks |
US10382534B1 (en) | 2015-04-04 | 2019-08-13 | Cisco Technology, Inc. | Selective load balancing of network traffic |
US20160316379A1 (en) * | 2015-04-22 | 2016-10-27 | Vonage Network, Llc | Systems and methods for controlling the data rate of an internet protocol communication |
US9723470B1 (en) * | 2015-04-30 | 2017-08-01 | Tensera Networks Ltd. | Selective enabling of data services to roaming wireless terminals |
US9723153B2 (en) * | 2015-05-07 | 2017-08-01 | Affirmed Networks, Inc. | Methods and systems for call detail record generation for billing systems |
US10476982B2 (en) | 2015-05-15 | 2019-11-12 | Cisco Technology, Inc. | Multi-datacenter message queue |
US9769865B2 (en) * | 2015-05-26 | 2017-09-19 | Avago Technologies General Ip (Singapore) Pte. Ltd. | Opportunistic data transfer |
US9996574B2 (en) * | 2015-06-30 | 2018-06-12 | International Business Machines Corporation | Enhancements for optimizing query executions |
US10034201B2 (en) | 2015-07-09 | 2018-07-24 | Cisco Technology, Inc. | Stateless load-balancing across multiple tunnels |
US9917841B1 (en) * | 2015-07-30 | 2018-03-13 | Sprint Communications Company L.P. | Branding and improper operation detection on a user equipment |
US10476782B2 (en) * | 2015-08-03 | 2019-11-12 | Nexmo, Inc. | Systems and methods for adaptive routing |
US9843885B2 (en) * | 2015-08-12 | 2017-12-12 | Apple Inc. | Methods, procedures and framework to provision an eSIM and make it multi-SIM capable using primary account information |
US9774648B2 (en) * | 2015-09-01 | 2017-09-26 | International Business Machines Corporation | Equitable and cooperative bandwidth pooling for a shared media event |
US10320644B1 (en) * | 2015-09-14 | 2019-06-11 | Amazon Technologies, Inc. | Traffic analyzer for isolated virtual networks |
US20170078416A1 (en) * | 2015-09-15 | 2017-03-16 | Lenovo (Singapore) Pte, Ltd. | Apparatus, method, and program product for data bandwidth optimization |
US10067780B2 (en) | 2015-10-06 | 2018-09-04 | Cisco Technology, Inc. | Performance-based public cloud selection for a hybrid cloud environment |
US11005682B2 (en) | 2015-10-06 | 2021-05-11 | Cisco Technology, Inc. | Policy-driven switch overlay bypass in a hybrid cloud network environment |
US9800740B2 (en) * | 2015-10-12 | 2017-10-24 | Verizon Patent And Licensing Inc. | Push/pull hybrid for wireless device usage metering |
US10462136B2 (en) | 2015-10-13 | 2019-10-29 | Cisco Technology, Inc. | Hybrid cloud security groups |
WO2017064658A2 (en) * | 2015-10-14 | 2017-04-20 | Digitata Limited | Dynamic control of data consumption by software applications on mobile devices |
US10237416B2 (en) * | 2015-10-16 | 2019-03-19 | Lenovo (Singapore) Pte. Ltd. | Distributed network data usage metering across authorized personal devices |
US20170118622A1 (en) * | 2015-10-21 | 2017-04-27 | Globetouch, Inc. | Communication exchange for local data services |
WO2017073089A1 (en) * | 2015-10-27 | 2017-05-04 | アラクサラネットワークス株式会社 | Communication device, system, and method |
US9635188B1 (en) | 2015-10-30 | 2017-04-25 | International Business Machines Corporation | Mobile device data allocation system |
US10523657B2 (en) | 2015-11-16 | 2019-12-31 | Cisco Technology, Inc. | Endpoint privacy preservation with cloud conferencing |
US10205677B2 (en) | 2015-11-24 | 2019-02-12 | Cisco Technology, Inc. | Cloud resource placement optimization and migration execution in federated clouds |
US9655114B1 (en) | 2015-11-30 | 2017-05-16 | At&T Intellectual Property I, L.P. | Methods and apparatus to allocate bandwidth between subscribers of a communications network |
US20170163821A1 (en) * | 2015-12-03 | 2017-06-08 | Alcatel-Lucent Usa Inc. | Data quota management for wireless communication systems |
US10084703B2 (en) | 2015-12-04 | 2018-09-25 | Cisco Technology, Inc. | Infrastructure-exclusive service forwarding |
US20170171736A1 (en) * | 2015-12-09 | 2017-06-15 | Lenovo (Singapore) Pte. Ltd. | Dynamic pricing for use of network |
US10104514B2 (en) * | 2015-12-17 | 2018-10-16 | T-Mobile Usa, Inc. | Systems and methods for the temporal shifting of data downloads or streaming |
CN105553772B (en) * | 2015-12-18 | 2020-03-17 | 小米科技有限责任公司 | Flow monitoring method and device |
CN105630130B (en) * | 2015-12-18 | 2022-05-31 | 联想(北京)有限公司 | Information processing method and information processing apparatus |
US9699325B1 (en) * | 2015-12-29 | 2017-07-04 | Verizon Patent And Licensing Inc. | Mobile peer-to-peer data balance transfer |
WO2017115115A1 (en) * | 2015-12-31 | 2017-07-06 | Pismo Labs Technology Ltd | Methods and systems for sharing data usage at a plurality of network devices |
US10554515B2 (en) * | 2015-12-31 | 2020-02-04 | Bright House Networks, Llc | Customer premises network access device for displaying data usage |
US20170195250A1 (en) * | 2016-01-06 | 2017-07-06 | Google Inc. | Automatic data restrictions based on signals |
US9736671B2 (en) | 2016-01-18 | 2017-08-15 | International Business Machines Corporation | Data usage recommendation generator |
JP6597360B2 (en) * | 2016-02-12 | 2019-10-30 | 富士通株式会社 | Connection management program, connection management method, and information processing apparatus |
JP6816368B2 (en) * | 2016-03-11 | 2021-01-20 | 日本電気株式会社 | Wireless communication device and terminal device |
US10594731B2 (en) | 2016-03-24 | 2020-03-17 | Snowflake Inc. | Systems, methods, and devices for securely managing network connections |
JP6462621B2 (en) * | 2016-03-30 | 2019-01-30 | Necプラットフォームズ株式会社 | Wireless LAN communication device, communication method, and program |
US10805167B2 (en) * | 2016-05-02 | 2020-10-13 | Lenovo (Singapore) Pte. Ltd. | Accessibility of applications based on network connection type |
US10129177B2 (en) | 2016-05-23 | 2018-11-13 | Cisco Technology, Inc. | Inter-cloud broker for hybrid cloud networks |
US10244567B2 (en) * | 2016-05-31 | 2019-03-26 | Telefonaktiebolaget Lm Ericsson (Publ) | ICN connectivity awareness |
CN107545013A (en) * | 2016-06-29 | 2018-01-05 | 百度在线网络技术(北京)有限公司 | Method and apparatus for providing search recommendation information |
CN105979501B (en) * | 2016-06-29 | 2019-08-16 | 北京小米移动软件有限公司 | Resource allocation methods and device |
US10659283B2 (en) | 2016-07-08 | 2020-05-19 | Cisco Technology, Inc. | Reducing ARP/ND flooding in cloud environment |
US10432532B2 (en) | 2016-07-12 | 2019-10-01 | Cisco Technology, Inc. | Dynamically pinning micro-service to uplink port |
US10382597B2 (en) | 2016-07-20 | 2019-08-13 | Cisco Technology, Inc. | System and method for transport-layer level identification and isolation of container traffic |
US10263898B2 (en) | 2016-07-20 | 2019-04-16 | Cisco Technology, Inc. | System and method for implementing universal cloud classification (UCC) as a service (UCCaaS) |
US10142346B2 (en) | 2016-07-28 | 2018-11-27 | Cisco Technology, Inc. | Extension of a private cloud end-point group to a public cloud |
US11490232B2 (en) * | 2016-08-01 | 2022-11-01 | Microsoft Technology Licensing, Llc | Location-based conversation identifier |
US10567344B2 (en) | 2016-08-23 | 2020-02-18 | Cisco Technology, Inc. | Automatic firewall configuration based on aggregated cloud managed information |
CN107786956B (en) * | 2016-08-29 | 2021-06-08 | 中国移动通信集团安徽有限公司 | A method and device for determining real-time priority of a package |
US10523524B2 (en) * | 2016-09-13 | 2019-12-31 | Gogo Llc | Usage-based bandwidth optimization |
US10523592B2 (en) | 2016-10-10 | 2019-12-31 | Cisco Technology, Inc. | Orchestration system for migrating user data and services based on user information |
US10334063B2 (en) * | 2016-10-26 | 2019-06-25 | Lenovo Enterprise Solutions (Singapore) Pte. Ltd. | Systems, computing devices, and methods for setting data usage levels among computing devices based on predicted data usage |
US10057803B2 (en) * | 2016-10-28 | 2018-08-21 | Hewlett Packard Enterprise Development Lp | Wi-Fi adoption index |
US20180121461A1 (en) * | 2016-10-31 | 2018-05-03 | Facebook, Inc. | Methods and Systems for Deduplicating Redundant Usage Data for an Application |
US10638418B2 (en) * | 2016-11-04 | 2020-04-28 | Ford Global Technologies, Llc | Method and apparatus for data transfer connection management |
US11044162B2 (en) | 2016-12-06 | 2021-06-22 | Cisco Technology, Inc. | Orchestration of cloud and fog interactions |
CN106528252B (en) * | 2016-12-09 | 2018-04-24 | 北京小米移动软件有限公司 | Object starts method and device |
US10924520B2 (en) * | 2016-12-13 | 2021-02-16 | Microsoft Technology Licensing, Llc | Online charging mechanisms during OCS non-responsiveness |
US10326817B2 (en) | 2016-12-20 | 2019-06-18 | Cisco Technology, Inc. | System and method for quality-aware recording in large scale collaborate clouds |
US10469671B2 (en) | 2016-12-27 | 2019-11-05 | At&T Mobility Ii Llc | Network-based per-application data usage limitations |
US10129718B2 (en) * | 2016-12-28 | 2018-11-13 | T-Mobile Usa, Inc. | Data usage analytics application for dynamic control of data usage on a client device |
US10334029B2 (en) | 2017-01-10 | 2019-06-25 | Cisco Technology, Inc. | Forming neighborhood groups from disperse cloud providers |
US10552191B2 (en) | 2017-01-26 | 2020-02-04 | Cisco Technology, Inc. | Distributed hybrid cloud orchestration model |
US10320683B2 (en) | 2017-01-30 | 2019-06-11 | Cisco Technology, Inc. | Reliable load-balancer using segment routing and real-time application monitoring |
US10671571B2 (en) | 2017-01-31 | 2020-06-02 | Cisco Technology, Inc. | Fast network performance in containerized environments for network function virtualization |
US10223063B2 (en) | 2017-02-24 | 2019-03-05 | Spotify Ab | Methods and systems for personalizing user experience based on discovery metrics |
US20180249017A1 (en) * | 2017-02-27 | 2018-08-30 | Microsoft Technology Licensing, Llc | Data Usage Based Data Transfer Determination |
US10154501B2 (en) | 2017-03-17 | 2018-12-11 | At&T Intellectual Property I, L.P. | Determining wireless network availability for connected vehicles |
CN110419027B (en) * | 2017-03-22 | 2023-12-29 | 三星电子株式会社 | Method for managing application and computing device using the same |
US11005731B2 (en) | 2017-04-05 | 2021-05-11 | Cisco Technology, Inc. | Estimating model parameters for automatic deployment of scalable micro services |
WO2018195877A1 (en) * | 2017-04-27 | 2018-11-01 | 华为技术有限公司 | Communication method, device and system |
WO2018222007A1 (en) * | 2017-06-02 | 2018-12-06 | Samsung Electronics Co., Ltd. | Methods and systems for accounting for data usage in mptcp |
US10382274B2 (en) | 2017-06-26 | 2019-08-13 | Cisco Technology, Inc. | System and method for wide area zero-configuration network auto configuration |
US10439877B2 (en) | 2017-06-26 | 2019-10-08 | Cisco Technology, Inc. | Systems and methods for enabling wide area multicast domain name system |
US10892940B2 (en) | 2017-07-21 | 2021-01-12 | Cisco Technology, Inc. | Scalable statistics and analytics mechanisms in cloud networking |
US10425288B2 (en) | 2017-07-21 | 2019-09-24 | Cisco Technology, Inc. | Container telemetry in data center environments with blade servers and switches |
US10601693B2 (en) | 2017-07-24 | 2020-03-24 | Cisco Technology, Inc. | System and method for providing scalable flow monitoring in a data center fabric |
US10541866B2 (en) | 2017-07-25 | 2020-01-21 | Cisco Technology, Inc. | Detecting and resolving multicast traffic performance issues |
US10382995B2 (en) | 2017-09-29 | 2019-08-13 | At&T Intellectual Property I, L.P. | Utilization of crowd-sourced access point data for 5G or other next generation network |
US10231134B1 (en) | 2017-09-29 | 2019-03-12 | At&T Intellectual Property I, L.P. | Network planning based on crowd-sourced access point data for 5G or other next generation network |
US10271236B1 (en) | 2017-09-29 | 2019-04-23 | At&T Intellectual Property I, L.P. | Collection of crowd-sourced access point data for 5G or other next generation network |
US10353800B2 (en) | 2017-10-18 | 2019-07-16 | Cisco Technology, Inc. | System and method for graph based monitoring and management of distributed systems |
US10942836B2 (en) * | 2017-10-26 | 2021-03-09 | Nutanix, Inc. | Application curation |
CN109726580B (en) | 2017-10-31 | 2020-04-14 | 阿里巴巴集团控股有限公司 | Data statistical method and device |
US10652308B2 (en) * | 2017-11-08 | 2020-05-12 | International Business Machines Corporation | Cognitive storage management for a mobile computing device |
US11481362B2 (en) | 2017-11-13 | 2022-10-25 | Cisco Technology, Inc. | Using persistent memory to enable restartability of bulk load transactions in cloud databases |
US10205831B1 (en) | 2017-11-28 | 2019-02-12 | Verizon Patent And Licensing Inc. | Charging interface between SMF and charging server in next generation wireless networks |
US10705882B2 (en) | 2017-12-21 | 2020-07-07 | Cisco Technology, Inc. | System and method for resource placement across clouds for data intensive workloads |
US11595474B2 (en) | 2017-12-28 | 2023-02-28 | Cisco Technology, Inc. | Accelerating data replication using multicast and non-volatile memory enabled nodes |
US10511534B2 (en) | 2018-04-06 | 2019-12-17 | Cisco Technology, Inc. | Stateless distributed load-balancing |
US11144278B2 (en) * | 2018-05-07 | 2021-10-12 | Google Llc | Verifying operational statuses of agents interfacing with digital assistant applications |
US10558546B2 (en) * | 2018-05-08 | 2020-02-11 | Apple Inc. | User interfaces for controlling or presenting device usage on an electronic device |
GB2575236A (en) * | 2018-05-11 | 2020-01-08 | Samsung Electronics Co Ltd | User and/or application profiles |
US10728361B2 (en) | 2018-05-29 | 2020-07-28 | Cisco Technology, Inc. | System for association of customer information across subscribers |
US10599538B2 (en) * | 2018-05-31 | 2020-03-24 | Dell Products L.P. | Usage profile based recommendations |
US11853306B2 (en) * | 2018-06-03 | 2023-12-26 | Apple Inc. | Techniques for personalizing app store recommendations |
US10904322B2 (en) | 2018-06-15 | 2021-01-26 | Cisco Technology, Inc. | Systems and methods for scaling down cloud-based servers handling secure connections |
US10764266B2 (en) | 2018-06-19 | 2020-09-01 | Cisco Technology, Inc. | Distributed authentication and authorization for rapid scaling of containerized services |
US11019083B2 (en) | 2018-06-20 | 2021-05-25 | Cisco Technology, Inc. | System for coordinating distributed website analysis |
US10819571B2 (en) | 2018-06-29 | 2020-10-27 | Cisco Technology, Inc. | Network traffic optimization using in-situ notification system |
US10904342B2 (en) | 2018-07-30 | 2021-01-26 | Cisco Technology, Inc. | Container networking using communication tunnels |
US11601825B2 (en) * | 2018-08-08 | 2023-03-07 | Faraday&Future Inc. | Connected vehicle network data transfer optimization |
US10958708B2 (en) | 2018-08-22 | 2021-03-23 | International Business Machines Corporation | Crowdsourcing big data transfer |
GB2576765B (en) * | 2018-08-31 | 2021-03-10 | Spatialbuzz Ltd | Measuring A Network Performance Characteristic |
US10693793B2 (en) | 2018-09-12 | 2020-06-23 | International Business Machines Corporation | Mitigating network saturation following periods of device disconnection and subsequent reconnection |
US11163617B2 (en) * | 2018-09-21 | 2021-11-02 | Microsoft Technology Licensing, Llc | Proactive notification of relevant feature suggestions based on contextual analysis |
KR102012136B1 (en) | 2018-10-24 | 2019-10-21 | 주식회사 엘지유플러스 | System and method for charging according to providing contents |
WO2020141959A1 (en) * | 2019-01-04 | 2020-07-09 | Samsung Electronics Co., Ltd. | Method and system for managing communication in user equipment with plurality of subscriber identity modules |
CN109889406B (en) * | 2019-02-02 | 2021-05-14 | 北京百度网讯科技有限公司 | Method, apparatus, device and storage medium for managing network connection |
US10771943B1 (en) * | 2019-02-19 | 2020-09-08 | Microsoft Technology Licensing, Llc | Privacy-enhanced method for linking an eSIM profile |
JP2020135352A (en) * | 2019-02-19 | 2020-08-31 | 富士ゼロックス株式会社 | Information processing device, information processing system, and program |
US10841188B2 (en) | 2019-03-25 | 2020-11-17 | International Business Machines Corporation | Data tagging for service provider usage allocation |
US11363137B2 (en) | 2019-06-01 | 2022-06-14 | Apple Inc. | User interfaces for managing contacts on another electronic device |
US10791212B1 (en) * | 2019-06-25 | 2020-09-29 | Microsoft Technology Licensing, Llc | Electronic concierge for automating event planning and application curation |
DE102019214476A1 (en) * | 2019-09-23 | 2021-03-25 | Siemens Mobility GmbH | Data connection operating method, data transmission unit and vehicle with data transmission unit |
KR102720005B1 (en) * | 2019-10-18 | 2024-10-22 | 삼성전자주식회사 | Application optimizing method and electronic device supporting the same |
US11196827B2 (en) * | 2019-10-30 | 2021-12-07 | At&T Intellectual Property I, L.P. | Data management for connected devices |
US11533102B2 (en) * | 2020-01-06 | 2022-12-20 | Hughes Network Systems, Llc | Optimizing data cap limited service plans |
US11523002B2 (en) * | 2020-01-31 | 2022-12-06 | Charter Communications Operating, Llc | Dynamic bandwidth service limits |
US11297555B2 (en) * | 2020-02-27 | 2022-04-05 | At&T Intellectual Property I, L.P. | Facilitation of dynamic edge computations for 6G or other next generation network |
US11019185B1 (en) * | 2020-03-30 | 2021-05-25 | Lenovo (Singapore) Pte. Ltd. | Data usage negotiation |
CN113949674A (en) * | 2020-06-29 | 2022-01-18 | 成都鼎桥通信技术有限公司 | Data transmission method, system, network equipment, media equipment and receiving equipment |
US11126977B1 (en) | 2020-06-29 | 2021-09-21 | APPDIRECT, Inc. | Video call flash payment |
KR102295091B1 (en) * | 2020-07-10 | 2021-08-30 | 삼성전자주식회사 | Tethering distribution apparatus, control method thereof, and central mediator |
CN114363139B (en) * | 2020-09-30 | 2024-05-03 | 北京金山云网络技术有限公司 | Planning bandwidth determining method, planning bandwidth determining device, electronic equipment and readable storage medium |
US11240566B1 (en) * | 2020-11-20 | 2022-02-01 | At&T Intellectual Property I, L.P. | Video traffic management using quality of service and subscriber plan information |
TWI776287B (en) * | 2020-11-24 | 2022-09-01 | 威聯通科技股份有限公司 | Cloud file accessing apparatus and method |
US20220210020A1 (en) * | 2020-12-31 | 2022-06-30 | Hughes Network Systems, Llc | Smart Meter For Monitoring And Controlling Internet Usage |
US11582648B2 (en) | 2021-01-26 | 2023-02-14 | Dish Wireless L.L.C. | Dynamic facilitation of communications services |
AU2022227921A1 (en) * | 2021-02-25 | 2023-09-21 | Dexcom, Inc. | Glucose reporting and vizualization with best day |
US11695878B2 (en) * | 2021-03-31 | 2023-07-04 | T-Mobile Usa, Inc. | Adjustable and dynamic thresholds in wireless networks |
CN113362244B (en) * | 2021-06-03 | 2023-02-24 | 淄博职业学院 | Image processing method based on priority and data use plan |
US12223361B2 (en) * | 2021-08-02 | 2025-02-11 | Dell Products L.P. | Systems and methods to trigger workload migration between cloud-based resources and local resources |
EP4395636A1 (en) | 2021-08-31 | 2024-07-10 | Masimo Corporation | Privacy switch for mobile communications device |
US20230087930A1 (en) * | 2021-09-21 | 2023-03-23 | Tangoe Us, Inc. | Telecom Provider Analysis Tool |
US12219420B2 (en) | 2022-03-10 | 2025-02-04 | T-Mobile Usa, Inc. | Dynamically adjusting a service plan provided to a UE by a wireless telecommunication network |
US12149369B2 (en) * | 2022-05-23 | 2024-11-19 | Honeywell International Inc. | Method and system for operating a security system that has a cellular communication connection with a data usage cap |
US12132579B2 (en) * | 2022-10-19 | 2024-10-29 | At&T Intellectual Property I, L.P. | Method and apparatus for performing an accounting network layer as a service |
US12081816B1 (en) * | 2023-03-27 | 2024-09-03 | Adeia Guides Inc. | System and methods for social ads and premium upgrades for multi-account watch parties |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6308328B1 (en) * | 1997-01-17 | 2001-10-23 | Scientific-Atlanta, Inc. | Usage statistics collection for a cable data delivery system |
US7184749B2 (en) * | 2000-09-07 | 2007-02-27 | Traq Wireless, Inc. | System and method for analyzing wireless communication data |
US8374576B2 (en) * | 2008-12-04 | 2013-02-12 | At&T Intellectual Property I, L.P. | Methods, systems, and computer program products for generating resource utilization alerts through communication terminals |
US20140248852A1 (en) * | 2009-01-28 | 2014-09-04 | Headwater Partners I Llc | Mobile device and service management |
US20180097643A1 (en) * | 2009-01-28 | 2018-04-05 | Headwater Research Llc | Managing Service User Discovery and Service Launch Object Placement on a Device |
Family Cites Families (152)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5826198A (en) | 1992-01-13 | 1998-10-20 | Microcom Systems, Inc. | Transmission of data over a radio frequency channel |
US5778182A (en) * | 1995-11-07 | 1998-07-07 | At&T Corp. | Usage management system |
JPH1011344A (en) | 1996-06-24 | 1998-01-16 | Mitsubishi Electric Corp | Data backup method |
AU4099501A (en) | 2000-03-10 | 2001-09-17 | Herbert Street Technologies Ltd. | A data transfer and management system |
CA2303739C (en) | 2000-04-04 | 2009-06-30 | Webhancer Corporation | Method and system for managing performance of data transfers for a data access system |
GB2361081A (en) * | 2000-04-07 | 2001-10-10 | Digitalsecu Co Ltd | Apparatus and method for storing log files on a once only recordable medium |
AU2001266753A1 (en) | 2000-06-05 | 2001-12-17 | Lariat Software, Inc. | System and method for calculating concurrent network connections |
FI20002814A0 (en) | 2000-12-21 | 2000-12-21 | Nokia Mobile Phones Ltd | Context-based communication backup method and arrangement, communication network and communication network terminal |
US20020082991A1 (en) | 2000-12-27 | 2002-06-27 | Richard Friedman | Telecommunications cost management system |
US7720727B2 (en) | 2001-03-01 | 2010-05-18 | Fisher-Rosemount Systems, Inc. | Economic calculations in process control system |
US20030066055A1 (en) * | 2001-04-26 | 2003-04-03 | Spivey John Michael | Profiling computer programs |
US7320131B1 (en) | 2001-06-06 | 2008-01-15 | Cisco Technology, Inc. | Methods and apparatus for selecting a server to process a request |
JP5068406B2 (en) | 2001-09-26 | 2012-11-07 | 日本電気株式会社 | Packet communication restriction system and packet communication restriction method for portable terminal |
JP3868250B2 (en) | 2001-10-09 | 2007-01-17 | 松下電器産業株式会社 | Data transfer device, data transfer system, and data transfer method |
US6898734B2 (en) | 2001-12-13 | 2005-05-24 | International Business Machines Corporation | I/O stress test |
US7450927B1 (en) | 2002-01-23 | 2008-11-11 | At&T Corp. | Interactive communication service account management system |
US8216071B2 (en) * | 2002-03-20 | 2012-07-10 | Intel Corporation | Method and apparatus for software delivery and management |
JP2003299150A (en) | 2002-03-29 | 2003-10-17 | Toshiba Corp | Radio terminal equipment |
US20040040021A1 (en) | 2002-05-06 | 2004-02-26 | Microsoft Corporation | Method and system for keeping an application up-to-date |
JP4239058B2 (en) | 2002-05-22 | 2009-03-18 | ソニー株式会社 | Radio communication apparatus, radio communication apparatus control method, radio communication apparatus control method program, and recording medium storing radio communication apparatus control method program |
JP2004072590A (en) * | 2002-08-08 | 2004-03-04 | Matsushita Electric Ind Co Ltd | Terminal device and server device |
US20040032828A1 (en) | 2002-08-16 | 2004-02-19 | Cellglide Technologies Corp. | Service management in cellular networks |
JP2004140684A (en) | 2002-10-18 | 2004-05-13 | Kyocera Corp | Radio communications terminal |
US7343593B2 (en) | 2002-12-09 | 2008-03-11 | Siemens Aktiengesellschaft | Method and device for porting software programs to a target platform by way of an electronic data processing system |
KR100453071B1 (en) | 2003-01-18 | 2004-10-15 | 삼성전자주식회사 | Apparatus and method for connecting processor to bus |
US7818252B2 (en) | 2003-02-20 | 2010-10-19 | Gilat Satellite Networks, Ltd | Enforcement of network service level agreements |
US20040176965A1 (en) * | 2003-03-05 | 2004-09-09 | The Minster Machine Company | Durable goods equipment availability and usage system and method |
US7532571B1 (en) | 2003-06-27 | 2009-05-12 | Microsoft Corporation | Providing online connectivity across a range of electronic communications systems |
US20050052992A1 (en) | 2003-08-01 | 2005-03-10 | Cloonan Thomas J. | Method and system for dynamically managing cable data bandwidth based on channel congestion state and subscriber usage profile |
US7660755B2 (en) | 2003-09-18 | 2010-02-09 | At&T Intellectual Property I, L.P. | Methods, systems, and computer-readable-mediums for managing rollover usage units of communication services |
WO2005036348A2 (en) * | 2003-10-06 | 2005-04-21 | Broadbeam Corporation | Method and apparatus for intelligent seamless network switching |
US7103740B1 (en) | 2003-12-31 | 2006-09-05 | Veritas Operating Corporation | Backup mechanism for a multi-class file system |
JP4269162B2 (en) | 2004-01-07 | 2009-05-27 | 日本電気株式会社 | Wireless route selection method for portable communication terminal, portable communication terminal and wireless communication system |
DE602004028661D1 (en) | 2004-01-27 | 2010-09-23 | Actix Ltd | TRAFFIC MONITORING SYSTEM FOR A MOBILE RADIO NETWORK FOR TRAFFIC ANALYSIS WITH A HIERARCHICAL APPROACH |
US7564799B2 (en) * | 2004-04-23 | 2009-07-21 | Intermec Ip Corp. | System and method for providing seamless roaming |
US7760882B2 (en) | 2004-06-28 | 2010-07-20 | Japan Communications, Inc. | Systems and methods for mutual authentication of network nodes |
US20060141983A1 (en) | 2004-12-23 | 2006-06-29 | Srinivasan Jagannathan | Network usage analysis system using customer and pricing information to maximize revenue and method |
JP2005168041A (en) | 2004-12-28 | 2005-06-23 | Toshiba Corp | Radio communication system |
US7996465B2 (en) | 2005-03-03 | 2011-08-09 | Raytheon Company | Incident command system |
US7743128B2 (en) | 2005-04-20 | 2010-06-22 | Netqos, Inc. | Method and system for visualizing network performance characteristics |
US20060277224A1 (en) | 2005-06-07 | 2006-12-07 | Microsoft Corporation | Synchronizing arbitrary data using a flexible schema |
CN101248623B (en) | 2005-06-28 | 2013-09-18 | 意大利电信股份公司 | Method and system for indication of subscriber terminal service usability |
US10178522B2 (en) * | 2005-08-02 | 2019-01-08 | Qualcomm Incorporated | VoIP emergency call support |
CA2621108A1 (en) | 2005-09-07 | 2007-03-15 | Sms.Ac, Inc. | Automated billing and distribution platform for application providers |
US20070211674A1 (en) | 2006-03-09 | 2007-09-13 | Ragnar Karlberg Lars J | Auto continuation/discontinuation of data download and upload when entering/leaving a network |
JP4829670B2 (en) | 2006-04-28 | 2011-12-07 | 株式会社日立製作所 | SAN management method and SAN management system |
US8542661B2 (en) * | 2006-05-16 | 2013-09-24 | Autonet Mobile, Inc. | Mobile router network server method with billing reconciliation |
US8521843B2 (en) | 2006-05-25 | 2013-08-27 | Qualcomm Incorporated | Methods and apparatus for sampling usage information from a pool of terminals in a data network |
DE102006033156A1 (en) | 2006-07-18 | 2008-01-24 | Keiper Gmbh & Co.Kg | Structure of a vehicle seat |
CN101150496A (en) | 2006-09-22 | 2008-03-26 | 中兴通讯股份有限公司 | Method for improving important information network transmission quality |
US20080089237A1 (en) | 2006-10-11 | 2008-04-17 | Ibahn Corporation | System and method for dynamic network traffic prioritization |
US20120142310A1 (en) | 2006-12-22 | 2012-06-07 | Integrated Mobile, Inc. | System and method for managing mobile devices and services |
US8850140B2 (en) | 2007-01-07 | 2014-09-30 | Apple Inc. | Data backup for mobile device |
WO2008097105A1 (en) | 2007-02-07 | 2008-08-14 | Advanced Media Systems Limited | Methods, systems and apparatus for monitoring and/or generating communications in a communications network |
US8924352B1 (en) | 2007-03-31 | 2014-12-30 | Emc Corporation | Automated priority backup and archive |
US20080250083A1 (en) | 2007-04-03 | 2008-10-09 | International Business Machines Corporation | Method and system of providing a backup configuration program |
US20080311912A1 (en) | 2007-06-15 | 2008-12-18 | Qualcomm Incorporated | System selection based on application requirements and preferences |
TWI386012B (en) | 2007-06-20 | 2013-02-11 | Inventec Appliances Corp | Method for mobile phone with gsm and cdma modes to control two gsm subscriber identify modules |
WO2008155444A1 (en) | 2007-06-21 | 2008-12-24 | Elektrobit Wireless Communications Oy | Radio resource control |
US8572256B2 (en) * | 2007-07-16 | 2013-10-29 | Qualcomm Incorporated | Method for supporting multiple diversified data applications with efficient use of network resources |
US8538378B2 (en) | 2007-08-24 | 2013-09-17 | Microsoft Corporation | Mobile billboard and usage advisor |
US20090068984A1 (en) | 2007-09-06 | 2009-03-12 | Burnett R Alan | Method, apparatus, and system for controlling mobile device use |
US8831575B2 (en) | 2007-09-26 | 2014-09-09 | Qualcomm Incorporated | Apparatus and methods associated with open market handsets |
US7986935B1 (en) | 2007-10-26 | 2011-07-26 | Sprint Communications Company L.P. | Service plan optimizer |
US8935381B2 (en) | 2007-11-27 | 2015-01-13 | Zettics, Inc. | Method and apparatus for real-time collection of information about application level activity and other user information on a mobile data network |
US8452927B2 (en) | 2008-01-02 | 2013-05-28 | Sandisk Technologies Inc. | Distributed storage service systems and architecture |
US8261278B2 (en) | 2008-02-01 | 2012-09-04 | Ca, Inc. | Automatic baselining of resource consumption for transactions |
US20090203352A1 (en) | 2008-02-13 | 2009-08-13 | Xelex Technologies Inc. | Mobile phone/device usage tracking system and method |
JP2009230575A (en) | 2008-03-24 | 2009-10-08 | Toyota Motor Corp | Backup system, onboard backup system, and onboard device |
US8363672B2 (en) | 2008-05-08 | 2013-01-29 | Gilat Satellite Networks Ltd. | Optimization of internet traffic based on application prioritization |
US8229812B2 (en) | 2009-01-28 | 2012-07-24 | Headwater Partners I, Llc | Open transaction central billing system |
US20100015926A1 (en) | 2008-07-18 | 2010-01-21 | Luff Robert A | System and methods to monitor and analyze events on wireless devices to predict wireless network resource usage |
US8706863B2 (en) | 2008-07-18 | 2014-04-22 | Apple Inc. | Systems and methods for monitoring data and bandwidth usage |
GB2463000B (en) | 2008-07-25 | 2012-11-07 | Vodafone Plc | Mobile communications network |
US8055237B2 (en) | 2008-08-06 | 2011-11-08 | Bridgewater Systems Corp. | Usage measurement collection and analysis to dynamically regulate customer network usage |
US8064876B2 (en) | 2008-09-30 | 2011-11-22 | At&T Intellectual Property Ii, L.P. | Systems for use with multi-number cellular devices |
KR101006275B1 (en) * | 2008-10-01 | 2011-01-06 | 주식회사 케이티 | Method and system for providing prepaid service using prepaid account segmentation |
US8473858B2 (en) | 2008-10-16 | 2013-06-25 | Bank Of America Corporation | Graph viewer displaying predicted account balances and expenditures |
US8347386B2 (en) * | 2008-10-21 | 2013-01-01 | Lookout, Inc. | System and method for server-coupled malware prevention |
US8984628B2 (en) | 2008-10-21 | 2015-03-17 | Lookout, Inc. | System and method for adverse mobile application identification |
JP2010103892A (en) * | 2008-10-27 | 2010-05-06 | Nec Corp | Communication terminal, charge plan management apparatus, management system, management method and management program |
EP2371156A1 (en) | 2008-12-08 | 2011-10-05 | Neuralitic Systems | A method and system for analysing a mobile operator data network |
US8160598B2 (en) | 2008-12-10 | 2012-04-17 | At&T Intellectual Property Ii, L.P. | Lightweight application level policy management for portable wireless devices under varying network |
US8407721B2 (en) * | 2008-12-12 | 2013-03-26 | Microsoft Corporation | Communication interface selection on multi-homed devices |
US8249904B1 (en) * | 2008-12-12 | 2012-08-21 | Amazon Technologies, Inc. | Managing use of program execution capacity |
US20100159948A1 (en) * | 2008-12-19 | 2010-06-24 | Taproot Systems, Inc. | Adaptive Networking For Power Savings |
US8271005B2 (en) | 2009-01-12 | 2012-09-18 | Jlt Group, Inc. | Mobile communication device and system with limited data transfer |
US8781479B2 (en) * | 2009-01-22 | 2014-07-15 | Microsoft Corporation | Mobile device network selection |
US8606911B2 (en) * | 2009-03-02 | 2013-12-10 | Headwater Partners I Llc | Flow tagging for service policy implementation |
US8745191B2 (en) | 2009-01-28 | 2014-06-03 | Headwater Partners I Llc | System and method for providing user notifications |
US9203629B2 (en) | 2009-05-04 | 2015-12-01 | Bridgewater Systems Corp. | System and methods for user-centric mobile device-based data communications cost monitoring and control |
US8577329B2 (en) | 2009-05-04 | 2013-11-05 | Bridgewater Systems Corp. | System and methods for carrier-centric mobile device data communications cost monitoring and control |
GB2470071B (en) | 2009-05-08 | 2013-06-05 | Vodafone Plc | Telcommunications networks |
JP5379299B2 (en) * | 2009-06-01 | 2013-12-25 | アルカテル−ルーセント | Notification of charge charge adjustment in the area of the mobile network to control bandwidth usage in the area |
US8214487B2 (en) | 2009-06-10 | 2012-07-03 | At&T Intellectual Property I, L.P. | System and method to determine network usage |
CA2673135C (en) | 2009-07-17 | 2017-01-17 | Anomalous Networks, Inc. | Determining usage predictions and detecting anomalous user activity through traffic patterns |
US8498749B2 (en) * | 2009-08-21 | 2013-07-30 | Allure Energy, Inc. | Method for zone based energy management system with scalable map interface |
KR20110023009A (en) * | 2009-08-28 | 2011-03-08 | 주식회사 케이티 | Method for charging wireless internet service fee and mobile communication terminal therefor |
US8509212B2 (en) * | 2009-09-22 | 2013-08-13 | Verizon Patent And Licensing Inc. | Method and system of recovering lost mobile devices |
JP5168512B2 (en) | 2009-12-08 | 2013-03-21 | 日本電気株式会社 | COMMUNICATION DEVICE, COMMUNICATION METHOD, AND PROGRAM |
US20110137776A1 (en) | 2009-12-09 | 2011-06-09 | Allconnect, Inc. | Systems and methods for managing and/or recommending third party products and services provided to a user |
US8112062B2 (en) | 2009-12-22 | 2012-02-07 | Cellco Partnership | System and method for sending threshold notification in real time |
EP2532151A2 (en) | 2010-02-03 | 2012-12-12 | Trilogy IP Holdings, Inc. | Mobile communication plan offerings |
US9369357B2 (en) * | 2010-02-03 | 2016-06-14 | Symantec Corporation | Method, system, and computer readable medium for remote device management |
US8996649B2 (en) * | 2010-02-05 | 2015-03-31 | Qualcomm Incorporated | Utilizing policies for offload and flow mobility in wireless communications |
US8230061B2 (en) | 2010-03-17 | 2012-07-24 | Microsoft Corporation | Network resource management with prediction |
US20120198046A1 (en) | 2010-04-29 | 2012-08-02 | Mehul Jayant Shah | Mobile device bandwidth throttling |
JP2011237950A (en) | 2010-05-07 | 2011-11-24 | Fujitsu Ltd | Information processor, backup server, backup program, backup method, and backup system |
JP5850470B2 (en) | 2010-05-25 | 2016-02-03 | ヘッドウォーター パートナーズ I エルエルシーHeadwater Partners I Llc | Device support service to protect network capacity |
US8615236B2 (en) | 2010-06-04 | 2013-12-24 | Palm, Inc. | System and method for dynamically managing connections using feature prioritization |
US20120208495A1 (en) * | 2010-06-23 | 2012-08-16 | Twilio, Inc. | System and method for monitoring account usage on a platform |
ES2430362T3 (en) | 2010-07-02 | 2013-11-20 | Vodafone Ip Licensing Limited | Radio resource management based on location prediction |
KR101161966B1 (en) | 2010-07-09 | 2012-07-04 | 에스케이하이닉스 주식회사 | Multi chip package having a chip address circuit |
CN101895967A (en) | 2010-07-21 | 2010-11-24 | 中兴通讯股份有限公司 | WIFI-based document downloading method and device thereof |
US8484568B2 (en) | 2010-08-25 | 2013-07-09 | Verizon Patent And Licensing Inc. | Data usage monitoring per application |
US8595289B2 (en) * | 2010-09-21 | 2013-11-26 | Telefonaktiebolaget L M Ericsson (Publ) | Cloud phone with distributed processing |
MX2013003475A (en) | 2010-09-28 | 2014-08-01 | Headwater Partners I Llc | Service design center for device assisted services. |
US8285250B2 (en) | 2010-11-01 | 2012-10-09 | Google Inc. | Mobile device-based bandwidth throttling |
US8893007B2 (en) * | 2010-11-09 | 2014-11-18 | Microsoft Corporation | Managing network usage per application via policies |
EP2464054A1 (en) | 2010-12-07 | 2012-06-13 | British Telecommunications Public Limited Company | Communications device |
US20120150808A1 (en) | 2010-12-13 | 2012-06-14 | Verizon Patent And Licensing Inc. | Method and system for performing data backup and restoration |
US9124436B2 (en) | 2010-12-16 | 2015-09-01 | Cellco Partnership | Intelligent automated data usage upgrade recommendation |
US8971841B2 (en) * | 2010-12-17 | 2015-03-03 | Microsoft Corporation | Operating system supporting cost aware applications |
US20120158947A1 (en) | 2010-12-17 | 2012-06-21 | Microsoft Corporation | Operating system supporting cost aware applications |
JP5315331B2 (en) | 2010-12-24 | 2013-10-16 | 株式会社エヌ・ティ・ティ・ドコモ | COMMUNICATION SYSTEM, COMMUNICATION CONTROL DEVICE, COMMUNICATION METHOD, AND MOBILE DEVICE |
KR101337724B1 (en) * | 2010-12-27 | 2013-12-06 | 주식회사 팬택 | Mobile terminal displaying the amount of using data for each application and control method there of |
US9609587B2 (en) * | 2011-01-31 | 2017-03-28 | Synchronoss Technologies, Inc. | System and method for host and OS agnostic management of connected devices through network controlled state alteration |
US8689541B2 (en) * | 2011-02-16 | 2014-04-08 | GM Global Technology Operations LLC | Valvetrain control method and apparatus for conserving combustion heat |
EP2512184B1 (en) * | 2011-04-13 | 2017-07-19 | OCT Circuit Technologies International Limited | Process and apparatus for handling downlink transmission during network switching |
US8929859B2 (en) * | 2011-04-26 | 2015-01-06 | Openet Telecom Ltd. | Systems for enabling subscriber monitoring of telecommunications network usage and service plans |
US9501785B2 (en) | 2011-04-28 | 2016-11-22 | Google Inc. | Using feedback reports to determine performance of an application in a geographic location |
CN103930871B (en) * | 2011-05-09 | 2019-07-09 | 谷歌有限责任公司 | Recommend to apply to mobile device based on installation history |
EP2715560B8 (en) | 2011-05-24 | 2019-08-21 | Citrix Systems, Inc. | Systems and methods for analyzing network metrics |
US8819471B2 (en) | 2011-06-03 | 2014-08-26 | Apple Inc. | Methods and apparatus for power state based backup |
US8924585B2 (en) * | 2011-06-03 | 2014-12-30 | Apple Inc. | Method for optimizing transport channels of devices |
US8654649B2 (en) * | 2011-07-27 | 2014-02-18 | Cisco Technology, Inc. | Reduced topology routing in shared media communication networks |
US8478233B2 (en) | 2011-08-01 | 2013-07-02 | Qualcomm Innovation Center, Inc. | Mobile computing device application network use metric and monetary cost monitor and control |
US9396482B2 (en) * | 2011-08-31 | 2016-07-19 | Verizon Patent And Licensing Inc. | Data usage plan associated with user device |
CN104067255B (en) | 2011-09-01 | 2016-12-28 | 谷歌公司 | Set up network to connect |
US9049637B2 (en) * | 2011-09-09 | 2015-06-02 | Genband Us Llc | Automatic transfer of mobile calls between voice over internet protocol (VoIP) and guaranteed service (GS) networks based on quality of service (QoS) measurements |
US8799365B2 (en) | 2011-09-28 | 2014-08-05 | Verizon Patent And Licensing Inc. | Broker-based management of mobile devices |
US8359389B1 (en) | 2011-10-11 | 2013-01-22 | Google Inc. | Monitoring application program resource consumption |
US9160790B1 (en) | 2011-10-17 | 2015-10-13 | Google, Inc. | Methods and systems for determining and controlling network data usage at the application and feature level |
US8880022B2 (en) * | 2011-11-10 | 2014-11-04 | Microsoft Corporation | Providing per-application resource usage information |
US20130122882A1 (en) | 2011-11-14 | 2013-05-16 | Labhesh Patel | Automated provisioning of cellphone plans triggered by mobile device management system alerts and usage thresholds |
US8885584B2 (en) * | 2011-11-30 | 2014-11-11 | Blackberry Limited | Multiple concurrent data link management |
US9544195B1 (en) | 2011-11-30 | 2017-01-10 | Amazon Technologies, Inc. | Bandwidth monitoring for data plans |
US8503978B2 (en) | 2011-12-09 | 2013-08-06 | Cellco Partnership | Real time data usage metering on a mobile station and reconciliation with billable usage measured by a mobile network |
CN103188647A (en) * | 2011-12-29 | 2013-07-03 | 北京网秦天下科技有限公司 | Method and system for statistically analyzing and warning Internet surfing flow of mobile terminal |
US9020925B2 (en) * | 2012-01-04 | 2015-04-28 | Trustgo Mobile, Inc. | Application certification and search system |
US9264556B2 (en) | 2012-01-27 | 2016-02-16 | Microsoft Technology Licensing, Llc | On-device attribution of network data usage |
US9413893B2 (en) | 2012-04-05 | 2016-08-09 | Assurant, Inc. | System, method, apparatus, and computer program product for providing mobile device support services |
-
2012
- 2012-12-20 US US13/721,083 patent/US9264556B2/en active Active
- 2012-12-20 US US13/721,041 patent/US9838287B2/en active Active
- 2012-12-20 US US13/721,023 patent/US9887894B2/en active Active
- 2012-12-20 US US13/721,032 patent/US9049589B2/en active Active
- 2012-12-20 US US13/721,066 patent/US9900231B2/en active Active
- 2012-12-20 US US13/721,058 patent/US9161200B2/en active Active
- 2012-12-20 US US13/721,029 patent/US9544212B2/en active Active
- 2012-12-20 US US13/721,069 patent/US9369589B2/en active Active
- 2012-12-20 US US13/721,053 patent/US8977231B2/en active Active
-
2013
- 2013-01-16 TW TW102101668A patent/TWI603642B/en not_active IP Right Cessation
- 2013-01-21 EP EP13741633.5A patent/EP2807561B1/en active Active
- 2013-01-21 WO PCT/US2013/022353 patent/WO2013112390A1/en active Application Filing
- 2013-01-21 CA CA2863455A patent/CA2863455C/en active Active
- 2013-01-21 AU AU2013212632A patent/AU2013212632B2/en active Active
- 2013-01-21 MX MX2014008566A patent/MX345476B/en active IP Right Grant
- 2013-01-21 RU RU2014131055A patent/RU2614538C2/en active
- 2013-01-21 JP JP2014554756A patent/JP6195313B2/en active Active
- 2013-01-21 TW TW102102234A patent/TW201336281A/en unknown
- 2013-01-21 KR KR1020147023845A patent/KR102098414B1/en active IP Right Grant
- 2013-01-21 CN CN201380006806.5A patent/CN104081360B/en active Active
- 2013-01-21 MX MX2017001228A patent/MX366246B/en unknown
- 2013-01-21 BR BR112014018380A patent/BR112014018380A8/en not_active Application Discontinuation
- 2013-01-24 JP JP2014554805A patent/JP2015508632A/en active Pending
- 2013-01-24 CN CN201380006974.4A patent/CN104081339B/en active Active
- 2013-01-24 EP EP13741434.8A patent/EP2807553B1/en active Active
- 2013-01-24 KR KR1020147023636A patent/KR102021631B1/en active IP Right Grant
- 2013-01-24 WO PCT/US2013/022822 patent/WO2013112647A1/en active Application Filing
-
2015
- 2015-03-09 US US14/642,378 patent/US9660889B2/en active Active
- 2015-08-25 US US14/835,693 patent/US20160112577A1/en not_active Abandoned
- 2015-08-28 US US14/839,243 patent/US9887895B2/en active Active
-
2016
- 2016-01-05 US US14/988,462 patent/US9825830B2/en active Active
- 2016-11-11 US US15/350,001 patent/US20170187596A1/en not_active Abandoned
- 2016-11-30 US US15/365,919 patent/US10069705B2/en active Active
-
2017
- 2017-05-08 US US15/589,994 patent/US20170373959A1/en not_active Abandoned
- 2017-06-12 US US15/620,791 patent/US10243824B2/en active Active
-
2018
- 2018-01-19 US US15/876,094 patent/US11223549B2/en active Active
- 2018-12-14 US US16/221,444 patent/US20190230016A1/en not_active Abandoned
-
2022
- 2022-01-11 US US17/573,473 patent/US20220141110A1/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6308328B1 (en) * | 1997-01-17 | 2001-10-23 | Scientific-Atlanta, Inc. | Usage statistics collection for a cable data delivery system |
US7184749B2 (en) * | 2000-09-07 | 2007-02-27 | Traq Wireless, Inc. | System and method for analyzing wireless communication data |
US8374576B2 (en) * | 2008-12-04 | 2013-02-12 | At&T Intellectual Property I, L.P. | Methods, systems, and computer program products for generating resource utilization alerts through communication terminals |
US20140248852A1 (en) * | 2009-01-28 | 2014-09-04 | Headwater Partners I Llc | Mobile device and service management |
US20180097643A1 (en) * | 2009-01-28 | 2018-04-05 | Headwater Research Llc | Managing Service User Discovery and Service Launch Object Placement on a Device |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10243824B2 (en) | 2012-01-27 | 2019-03-26 | Microsoft Technology Licensing, Llc | On-device attribution of network data usage |
US11223549B2 (en) | 2012-01-27 | 2022-01-11 | Microsoft Technology Licensing, Llc | Managing data transfers over network connections based on priority and a data usage plan |
Also Published As
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9660889B2 (en) | Tracking data usage under a schematized data plan | |
US20140068212A1 (en) | Device backups and updates in view of data usage statistics | |
US20150142590A1 (en) | User-Specific Point-of-Sale Network Recommendations Based on Connection Quality Data |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: MICROSOFT TECHNOLOGY LICENSING, LLC, WASHINGTON Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:ZALMANOVITCH, GIL;SCOTT, GREGORY JAMES;GUDAY, SHAI;AND OTHERS;SIGNING DATES FROM 20150317 TO 20150414;REEL/FRAME:040299/0006 |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: NON FINAL ACTION MAILED |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: FINAL REJECTION MAILED |
|
STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION |