CN107133227A - Method for recommending cloud storage device for uploading file and device using method - Google Patents

Abstract

The invention provides a method for recommending a cloud storage device for an uploaded file, which is executed by a processing unit and comprises the following steps of: querying each of the plurality of cloud storage devices for the remaining space and obtaining a file that the user wants to upload; moving the cloud storage device with insufficient residual space for uploading the files out of the candidate list, and generating a recommended human-computer interface; the recommended human-computer interface comprises the final cloud storage devices in the candidate list, so that the file is uploaded to one of the cloud storage devices in the candidate list through the recommended human-computer interface. The invention further provides a device for recommending the cloud storage device for the uploaded files, which comprises a communication interface and a processing unit, wherein the processing unit is connected to the communication interface.

Description

Method for recommending cloud storage device for uploading files and device using the method

technical field

The invention relates to a data storage technology, in particular to a method for recommending a cloud storage device for uploading files and a device using the method.

Background technique

Cloud storage is a data storage model that stores digital data in logical pools. Physical storage spaces typically span multiple servers (and possibly multiple geographic locations), and the physical environment is typically owned and managed by a single company. Cloud storage providers are responsible for keeping data available and accessible, and physical environments protected and operational. However, when uploading files, different cloud storage providers charge users with different tariff plans. Therefore, there is a need for a method for recommending a cloud storage device for uploading files and a device using the method for saving the cost of uploading files.

Contents of the invention

The present invention proposes a method for recommending a cloud storage device for uploading files, which is executed by a processing unit and includes the following steps: querying each of a plurality of cloud storage devices for remaining space, and obtaining a file that a user wants to upload; The cloud storage device with insufficient remaining space to upload files is removed from the candidate list, and a recommended human-machine interface is generated. The recommended human-computer interface includes the final cloud storage device in the candidate list, so that the file is uploaded to one of the cloud storage devices in the candidate list through the recommended human-computer interface.

The present invention also proposes a device for recommending a cloud storage device for uploading files, including a communication interface and a processing unit; the processing unit is connected to the communication interface, and queries each of the plurality of cloud storage devices for remaining space through the communication interface; obtains candidates List, including cloud storage devices; obtain the files that the user wants to upload; remove the cloud storage devices with insufficient remaining space to upload files from the candidate list; and generate a recommended human-machine interface; the recommended human-computer interface includes the final cloud storage in the candidate list device, so that the file is uploaded to one of the cloud storage devices in the candidate list through the recommending man-machine interface through the communication interface.

Description of drawings

FIG. 1 is a schematic diagram of a network system architecture according to an embodiment of the present invention.

FIG. 2 is a system architecture diagram of a computing device according to an embodiment of the present invention.

Fig. 3 is a flowchart of a method for system initialization according to an embodiment of the present invention.

FIG. 4 is a flow chart of a method for file upload and cloud storage device recommendation according to an embodiment of the present invention.

Explanation of reference signs:

100～network; 110, 120, 130～storage server;

150～desktop computer; 210～processing unit;

220～display unit; 230～input device;

240～storage device; 250～memory;

260～communication interface; S310～S350～method steps;

S410～S493～method steps.

detailed description

In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail in conjunction with the accompanying drawings.

It must be understood that words such as "comprising" and "including" used in this specification are used to indicate the existence of specific technical features, values, method steps, operations, components and/or components, but do not exclude the possibility of adding More technical characteristics, numerical values, method steps, operation processes, components, components, or any combination of the above.

Words such as "first", "second", and "third" used in the claims are used to modify the elements in the claims, and are not used to indicate that there is an order of priority, a prior relationship, or that an element precedes Another element, or the chronological order in which method steps are performed, are used only to distinguish elements with the same name.

The embodiment of the present invention proposes a network system architecture, including multiple storage servers (servers) owned by different cloud storage providers, and clients (clients) that can store data in these storage servers in a distributed manner. FIG. 1 is a schematic diagram of a network system architecture according to an embodiment of the present invention. Three different cloud storage providers have storage servers 110 to 130 respectively, such as Google Drive (Google ) server, a hard disk server and box server etc. The desktop computer 150 (also referred to as client) can access the data in the storage servers 110 to 130 through the network 100 . The network 100 may be the Internet, a wired local area network (LAN), a wireless local area network, or any combination thereof. It should be noted here that, when the desktop computer 150 accesses data of any one of the storage servers 110 to 130 , it needs to pass the security check first. Specifically, the desktop computer 150 needs to provide a set of account (ID) and password, and can start to access data only after passing the verification. Although the embodiment takes the desktop computer 150 as an example, those skilled in the art can also implement the client on other electronic devices with communication capabilities, such as mobile phones, tablet computers, notebook computers, and the like.

FIG. 2 is a system architecture diagram of a computing device according to an embodiment of the present invention. This system architecture can be implemented in a desktop computer 150, It includes at least a processing unit 210 . The processing unit 210 can be implemented in a variety of ways, such as dedicated hardware circuits or general-purpose hardware components (for example, a single processor, multiple processors with parallel processing capabilities, graphics processing units, or other processing processor) and, when executing program code or software, provide the functions described hereinafter. The system architecture additionally includes memory 250 It is used to store the data needed in the execution process, such as variables, data tables (data tables), etc., and the storage unit 240 is used for Store various electronic files, such as cloud storage device path, login account and password of each cloud storage device Code, tariff information of each cloud storage device, etc. The system architecture further includes a communication interface 260 for processing The unit 210 can communicate with the storage servers 110, 120, 130 or other electronic devices. The communication interface 260 can It is a radio communication module (wireless telecommunications module), local area network (local area network, LAN) communication module or wireless local area network communication module (WLAN). The radio communication module (wireless telecommunications module) can be Contains modems that support 2G, 3G, 4G, or any combination of technology generations above. The input device 230 can be Contains keyboard, mouse, touch panel, etc. Users can press hard keys on the keyboard to input letters, and operate the mouse to control Control the mouse pointer, or make gestures on the touch panel to control the running application. Gestures can include single tap, double tap, Single-finger dragging, multi-finger dragging, etc., but not limited thereto. The display unit 220 may include a display panel (for example, a thin film liquid crystal display panel, organic light-emitting diode panel or other panels with display capabilities) for displaying input letters, numbers, symbols, Drag the moving track of the mouse, the drawn pattern or the picture provided by the application program, and provide it to the user to watch.

The embodiment of the present invention proposes a method for recommending a cloud storage device for uploading files, which is used to calculate the cost required by each cloud storage device before uploading files, and assist the user to select a cloud storage device for uploading. The whole process may include two parts: system initialization; and cloud storage device recommendation for file upload.

Fig. 3 is a flowchart of a method for system initialization according to an embodiment of the present invention. The method is implemented by the processing unit 210 of the desktop computer 150 when the relevant software instructions are loaded and executed. In order to make subsequent cloud storage device selection more efficient, the processing unit 210 collects necessary information. The processing unit 210 provides the path of the cloud storage device, and the login account and password of each cloud storage device (step S310 ). In step S310, the processing unit 210 can provide a man-machine interface to help the user input the path of the cloud storage device, and the login account and password of each cloud storage device. For example, the man-machine interface may include three input boxes for allowing the user to input the path of the Google hard drive, a hard drive, and the storage box respectively. The man-machine interface may further include input boxes for inputting three sets of login account numbers and passwords. After the user confirms the input data, the processing unit 210 can store the three cloud storage device paths, and corresponding account numbers and passwords to the storage unit 240 . The processing unit 210 can provide a man-machine interface to help users delete and modify the above information, and update the records in the storage unit 240 accordingly. The processing unit 210 also provides tariff information of each cloud storage device (step S330). In step S330, the processing unit 210 may provide a man-machine interface to help the user input the tariff information of each cloud storage device. For example, the man-machine interface may include an input box for allowing the user to input the tariff information of the Google hard disk, a hard disk, and the storage box respectively. Tariff information can include the daily/weekly/monthly preset access traffic, the fee per megabyte (MBytes) after the preset traffic, the default storage space, the fee per megabyte after the preset storage space, etc. . After the user confirms the input data, the processing unit 210 can store the tariff information of the three cloud storage devices to the storage unit 240 . The processing unit 210 can provide a man-machine interface to help users delete and modify the above information, and update the records in the storage unit 240 accordingly. The processing unit 210 can also query each cloud storage device for remaining space and traffic through the communication interface 260 (step S350 ). In step S350, the processing unit 210 may send a request to the cloud storage device through an application programming interface (API, Application Programming Interface) provided by each cloud storage device to query the remaining space and traffic. For example, getQuotaBytesTotal() provided by Google Hard Disk, REST-LiveConncetClient.GetAsync(String) provided by a hard disk, etc.

FIG. 4 is a flow chart of a method for file upload and cloud storage device recommendation according to an embodiment of the present invention. The method is implemented by the processing unit 210 of the desktop computer 150 when the relevant software instructions are loaded and executed. First, the processing unit 210 obtains the file that the user wants to upload (step S410). In step S410, the processing unit 210 may provide a man-machine interface including a file upload screen. In detail, the processing unit 210 can provide a user interface control (UIcontrol, User Interface control) of a file manager (window manager), which is used to help the user select a file to be uploaded in the storage device 240, and display the selection result in the file path field. The processing unit 210 also obtains the length of the file to be uploaded. Next, the processing unit 210 determines whether each cloud storage device in the candidate list has enough space (step S431 ). If yes, then collect the latest reference information (steps S451 to S455); otherwise, remove the cloud storage device with insufficient space from the candidate list (step S433), and then collect the latest reference information (steps S451 to S455). In step S431, in detail, the processing unit 210 generates a candidate list according to the information stored in the storage device 240 by the user in step S310, which includes all available cloud storage devices, and obtains the information stored in the storage device 240 in step S350. remaining space information. Next, the processing unit 210 compares the remaining space of each cloud storage device with the length of the file to be uploaded, and regards the cloud storage device whose remaining space is smaller than the length of the file to be uploaded as a cloud storage device whose remaining space is not enough to upload the file .

The reference information for providing the recommended cloud storage device may include the response time of the cloud storage device, the actual upload speed, the frequency of use of the uploaded file by the user, and the like. The processing unit 210 detects the response time of each cloud storage device in the candidate list (step S451 ). The processing unit 210 sends a request through the communication interface 260 to obtain the number of servers of each cloud storage device and the response time of the servers. Generally, the more servers there are, the longer the server response time will be. The processing unit 210 can normalize the detected response time to a value between 0 and 1, and a larger value represents a faster response time. Next, the processing unit 210 detects the actual upload time of each cloud storage device in the candidate list (step S453 ). The processing unit 210 can transmit the 1M byte file to each cloud storage device in the candidate list through the communication interface 260, and calculate the time elapsed after receiving the upload completion information for each cloud storage device. The processing unit 210 can normalize the detected actual upload time into a value between 0 and 1, and a larger value means a shorter upload time. Next, the processing unit 210 calculates the access frequency of the file to be uploaded (step S455). The storage device 240 can record the historical access records of each file, so that the processing unit 210 can calculate the access frequency of the files to be uploaded according to the historical access records. The processing unit 210 can normalize the calculated access frequency to a value between 0 and 1, and a larger value represents a higher access frequency.

The processing unit 210 determines whether each cloud storage device in the candidate list has enough access traffic (step S471 ). If so, calculate the priority order of the cloud storage device in the candidate list and generate a recommended man-machine interface (steps S491 to S493); otherwise, remove the cloud storage device with insufficient access traffic from the candidate list (step S473), and then calculate Prioritizing the cloud storage devices in the candidate list and generating a recommended man-machine interface (steps S491 to S493). In step S471, in detail, the processing unit 210 obtains the remaining access traffic information stored in the storage device 240 in step S350. Next, the processing unit 210 compares the remaining access traffic of each cloud storage device with the length of the file to be uploaded, and regards the cloud storage device whose remaining access traffic is less than the length of the file to be uploaded as having insufficient remaining access traffic Cloud storage for uploaded files. In step S491 , the processing unit 210 may perform a weighted calculation of the response time of the cloud storage device, the actual upload speed, and the usage frequency of the uploaded file by the user, so as to generate a priority order. In step S493 , the recommendation human-machine interface can display the priority order of the cloud storage device in the candidate list, and upload the file to the specified cloud storage device through the communication interface 260 after the user confirms the uploaded cloud storage device.

Three examples are given below to illustrate the above-mentioned method. In the first example, the user records the basic data of three cloud storage devices through the man-machine interface when the system is initialized: a Google hard drive; a hard drive; and a storage box (step S310). The user additionally provides the tariff plan of the three cloud storage devices through the man-machine interface when the system is initialized (step S330). The monthly rent of Guge’s hard disk storage space is 500 yuan. There is no limit to the storage space of a hard disk, and the access traffic does not exceed 1G bytes for 10 yuan per day, and every 1G bytes of traffic exceeding the limit is charged 2 yuan. There is no limit to the storage space of the storage box, and the access traffic does not exceed 2G bytes for 5 yuan per day, and every 1G byte of traffic exceeding the limit is charged for 3 yuan. The processing unit 210 also finds that the remaining space of the Guge hard disk is 1 Gbyte during system initialization (step S350 ). After obtaining the 1.5G byte file that the user wants to upload (step S410), the processing unit 210 removes the Google hard disk with insufficient space from the candidate list (step S433), and then performs a response time and Detection of actual upload time (steps S451 and S453). Afterwards, the processing unit 210 finds that a hard disk is the cloud storage device with the fastest upload speed but the file to be uploaded has exceeded the flow limit (path of "No" in step S471). The processing unit 210 also finds that the file to be uploaded does not exceed the flow limit of the storage box, so it drives the display unit 220 to generate a prompt window for suggesting the user to upload the file to the storage box (step S493).

In the second example, the user records the basic data of three cloud storage devices through the man-machine interface when the system is initialized: a Google hard drive; a hard drive; and a storage box (step S310). The user additionally provides the tariff plan of the three cloud storage devices through the man-machine interface when the system is initialized (step S330). The monthly rent of Guge’s hard disk storage space is 100 yuan. There is no limit to the storage space of a hard disk, and the access traffic does not exceed 1G bytes for 10 yuan per day, and every 1G bytes of traffic exceeding the limit is charged 2 yuan. There is no limit to the storage space of the storage box, and the access traffic does not exceed 2G bytes for 5 yuan per day, and every 1G byte of traffic exceeding the limit is charged for 3 yuan. The processing unit 210 also finds that the remaining space of the Guge hard disk is 1 Gbyte during system initialization (step S350 ). After obtaining the 50M byte file that the user wants to upload (step S410), the processing unit 210 finds that the available space of all cloud storage devices is sufficient (the path of "Yes" in step S431), and then responds to all cloud storage devices Detection of the time and the actual upload time (steps S451 and S453), and calculation of the access frequency of the file to be uploaded (step S455). In step S453, the processing unit 210 finds that a hard disk is the cloud storage device with the fastest upload speed. In step S455, the processing unit 210 finds that the file to be uploaded has been accessed three times this day, and belongs to a file with high access frequency. The processing unit 210 also finds that the file to be uploaded does not exceed the traffic limit of all cloud storage devices (the path of "Yes" in step S471), therefore, the drive display unit 220 generates a prompt window for suggesting that the user upload files to the storage device first. box (step S493).

In the third example, the user records the basic data of three cloud storage devices through the man-machine interface during system initialization: a Google hard drive; a hard drive; and a storage box (step S310). The user additionally provides the tariff plan of the three cloud storage devices through the man-machine interface when the system is initialized (step S330). The monthly rent of Guge’s hard disk storage space is 100 yuan. There is no limit to the storage space of a hard disk, and the access traffic does not exceed 1G bytes for 10 yuan per day, and every 1G bytes of traffic exceeding the limit is charged 2 yuan. There is no limit to the storage space of the storage box, and the access traffic does not exceed 2G bytes for 5 yuan per day, and every 1G byte of traffic exceeding the limit is charged for 3 yuan. The processing unit 210 also finds that the remaining space of the Guge hard disk is 1 Gbyte during system initialization (step S350 ). After obtaining the 50M byte file that the user wants to upload (step S410), the processing unit 210 finds that the available space of all cloud storage devices is sufficient (the path of "Yes" in step S431), and then responds to all cloud storage devices Detection of the time and the actual upload time (steps S451 and S453), and calculation of the access frequency of the file to be uploaded (step S455). In step S453, the processing unit 210 finds that a hard disk is the cloud storage device with the fastest upload speed. In step S455 , the processing unit 210 finds that the file to be uploaded has no access today and belongs to a file with a low access frequency. The processing unit 210 also finds that the file to be uploaded does not exceed the traffic limit of all cloud storage devices (the path of "Yes" in step S471), therefore, the drive display unit 220 generates a prompt window for suggesting that the user upload the file to the cloud first. brother hard disk (step S493).

Although the elements described above are included in FIG. 2 , it is not excluded to use more other additional elements to achieve better technical effects without violating the spirit of the invention. In addition, although the method flowcharts in FIG. 3 and FIG. 4 are executed in a specific order, those who are familiar with this technology can modify the order of these steps without violating the spirit of the invention. Therefore, the present invention is not limited to using only the sequence described above.

Although the present invention is described by the above examples, it should be noted that these descriptions are not intended to limit the present invention. On the contrary, the invention covers modifications and similar arrangements obvious to those skilled in the art. Therefore, the claims must be interpreted in the broadest manner to cover all obvious modifications and similar arrangements.

Claims (14)

1. A method for recommending a cloud storage device for uploading files, performed by a processing unit, comprising: Querying each of the plurality of cloud storage devices for a remaining space; Obtain a candidate list, including the above-mentioned cloud storage device; Obtain a file that the user wants to upload; remove the aforementioned cloud storage device with insufficient remaining space to upload the aforementioned file from the aforementioned candidate list; and Generate a recommended human-machine interface, including the cloud storage device in the candidate list, so that the file is uploaded to one of the cloud storage devices in the candidate list through the recommended human-machine interface. 2. The method for recommending cloud storage devices for uploading files according to claim 1, characterized in that, in the step of inquiring about a remaining space in each of the plurality of cloud storage devices, further comprising: A request is sent to the above-mentioned cloud storage device through the API provided by each of the above-mentioned cloud storage devices for querying the above-mentioned remaining space. 3. The method for recommending a cloud storage device for uploading files according to claim 2, wherein the step of removing the above-mentioned cloud storage device whose remaining space is not enough to upload the file from the candidate list further includes: judging whether the above-mentioned remaining space of each of the above-mentioned cloud storage devices is less than a length of the above-mentioned file; and removing the above-mentioned cloud storage device whose remaining space is smaller than the above-mentioned length from the above-mentioned candidate list. 4. The method for recommending a cloud storage device for uploading files according to claim 1, further comprising: Querying each of the above-mentioned cloud storage devices for a remaining access traffic; and removing the above-mentioned cloud storage device whose remaining access traffic is not enough to upload the above-mentioned file from the above-mentioned candidate list. 5. The method for recommending cloud storage devices for uploading files according to claim 4, characterized in that, in the step of inquiring about a remaining access traffic to each of the above-mentioned cloud storage devices, further comprising: A request is sent to the above-mentioned cloud storage device through the API provided by each of the above-mentioned cloud storage devices for querying the above-mentioned remaining access traffic. 6. The method for recommending cloud storage devices for uploading files according to claim 5, characterized in that, in the step of removing the above-mentioned cloud storage devices whose remaining access traffic is not enough to upload the files from the candidate list, further comprising: : judging whether the above-mentioned remaining access traffic of each of the above-mentioned cloud storage devices is less than the above-mentioned length of the above-mentioned file; and removing the above-mentioned cloud storage device with the above-mentioned remaining access traffic less than the above-mentioned length from the above-mentioned candidate list. 7. The method for recommending cloud storage devices for uploading files according to claim 1, further comprising: calculating a priority order for each of the above-mentioned cloud storage devices in the above-mentioned candidate list; and The above-mentioned recommended human-machine interface is generated according to the above-mentioned priority order. 8. The method for recommending cloud storage devices for uploading files according to claim 7, further comprising: Detecting a response time of each of the above-mentioned cloud storage devices in the above-mentioned candidate clearing device; Detecting an actual upload time of each of the above-mentioned cloud storage devices in the above-mentioned candidate clearing ports; calculating an access frequency of the above-mentioned files; and The priority order of each of the cloud storage devices in the candidate list is calculated according to the response time, the actual upload time and the access frequency. 9. The method for recommending a cloud storage device for uploading files according to claim 8, characterized in that, in the step of detecting an actual upload time of each of the above-mentioned cloud storage devices in the above-mentioned candidate cleanup, further comprising: sending a 1M byte file to each of the above cloud storage devices in the above candidate list; and Calculate the time elapsed after receiving an upload completion message for each of the above-mentioned cloud storage devices. 10. The method for recommending cloud storage devices for uploading files according to claim 8, characterized in that, in the step of calculating an access frequency of the above-mentioned files, further comprising: The above-mentioned access frequency of the above-mentioned file is calculated according to a historical access record in a storage device. 11. A device for recommending a cloud storage device for uploading files, comprising: a communication interface; and A processing unit, connected to the above-mentioned communication interface, through the above-mentioned communication interface, inquires a free space from each of the plurality of cloud storage devices; obtains a candidate list, including the above-mentioned cloud storage device; obtains a file that the user wants to upload ; remove the above-mentioned cloud storage device whose remaining space is not enough to upload the above-mentioned file from the above-mentioned candidate list; and generate a recommended human-machine interface, including the above-mentioned cloud storage device in the above-mentioned candidate list, so that the above-mentioned file can be passed through the above-mentioned recommended human-machine interface. The communication interface is uploaded to one of the above-mentioned cloud storage devices in the above-mentioned candidate list. 12. The device for recommending cloud storage devices for uploading files according to claim 11, wherein the processing unit queries each of the cloud storage devices for a remaining access flow; and determines that the remaining access flow is not enough to upload The above-mentioned cloud storage device of the above-mentioned file is removed from the above-mentioned candidate list. 13. The device for recommending cloud storage devices for uploading files according to claim 11, wherein the processing unit calculates a priority order of each of the cloud storage devices in the candidate list; and generates the recommendation according to the priority order HMI. 14. The device for recommending cloud storage devices for uploading files according to claim 13, wherein the processing unit detects a response time of each of the above-mentioned cloud storage devices in the candidate clean-ups; an actual upload time of each of the above-mentioned cloud storage devices; calculate an access frequency of the above-mentioned files; order of priority.