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CN114302428A - Method and device for determining MEC node - Google Patents

Method and device for determining MEC node Download PDF

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Publication number
CN114302428A
CN114302428A CN202111605027.XA CN202111605027A CN114302428A CN 114302428 A CN114302428 A CN 114302428A CN 202111605027 A CN202111605027 A CN 202111605027A CN 114302428 A CN114302428 A CN 114302428A
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node
mec
service
nodes
area
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CN202111605027.XA
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CN114302428B (en
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邱勇
裴郁杉
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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Abstract

The application provides a method and a device for determining an MEC node, relates to the technical field of communication, and can solve the problem that the deployment speed of the MEC node is low. The method comprises the following steps: acquiring a service demand area, service quality parameters of a service and deployment information of an application server of the service; inquiring an MEC boundary database according to a service demand area to obtain a first node set; inquiring an MEC boundary database according to the deployment information of the application server and the service quality parameters of the service to obtain a second node set, wherein the second node set comprises at least one second node, and the second node is a node capable of communicating with the application server to meet the service quality parameter requirements of the service; taking the difference obtained by subtracting the second node set from the first node set as a third node set, wherein the third node set comprises K third nodes, and K is a positive integer; at least one third node is selected from the K third nodes as a node to deploy the MEC server.

Description

Method and device for determining MEC node
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for determining a Mobile Edge Computing (MEC) node.
Background
With the rapid development of the mobile internet and the internet of things, the 5G service has the characteristic of diverse requirements. In an enhanced mobile broadband (eMBB) scene of 5G, a large-traffic mobile broadband service, such as high-speed downloading, high-definition video, virtual reality/augmented reality (VR/AR), etc., needs to be provided, which meets the higher requirements of users on digital life, and this will cause huge pressure on a wireless backhaul network. It is therefore desirable to sink traffic as much as possible to the edge of the network to enable local offloading of traffic. In a 5G ultra-reliable low-latency communication (URLLC) scene, ultra-reliable ultra-low latency communication needs to be provided, such as automatic driving, industrial control, telemedicine, etc., and the end-to-end high reliability of 99.999% and the end-to-end ultra-low latency of less than 1ms are required, thereby meeting higher requirements of the digital industry of people. It is also desirable to sink traffic to the edge of the network to reduce network latency associated with network traffic and multi-level traffic forwarding.
Mobile/multi-access edge computing (MEC) can meet the requirements in the above 5G application scenario. On one hand, the MEC is deployed at the edge of the network, the edge service runs on the terminal equipment, the feedback is quicker, and the problem of time delay is solved; on the other hand, the MEC sinks the content and the computing power, provides intelligent traffic scheduling, locally shunts the service, and locally caches the content, so that part of regional services can be terminated locally, thereby improving the service experience of users and reducing the resource occupation of a backbone transmission network and an upper core network. Thus, in the age of 5G, MEC will be the best choice for 5G network edge cloud deployment. However, when the MEC edge cloud is deployed, the related technical personnel often need to determine the deployment position of the MEC edge cloud through a large number of complicated calculation and analysis processes.
Disclosure of Invention
The application provides a method and a device for determining an MEC node, which can be used for improving the deployment speed of the MEC node.
In a first aspect, the present application provides a method for determining an MEC node, where the method includes: acquiring a service demand area, service quality parameters of a service and deployment information of an application server of the service; inquiring an MEC boundary database according to a service demand area to obtain a first node set; the first node set comprises at least one first node, and the first node is a node capable of providing service for a service demand area; the MEC boundary database is used for storing configuration information of each node in the network, the configuration information of the node comprises a deployment position and at least one MEC area information, one MEC area information corresponds to one service quality parameter, and the MEC area information is used for indicating at least one other node which can communicate with the node and meet the requirement of the service quality parameter corresponding to the MEC area information; inquiring an MEC boundary database according to the deployment information of the application server and the service quality parameters of the service to obtain a second node set, wherein the second node set comprises at least one second node, and the second node is a node capable of communicating with the application server to meet the service quality parameter requirements of the service; taking the difference obtained by subtracting the second node set from the first node set as a third node set, wherein the third node set comprises K third nodes, and K is a positive integer; at least one third node is selected from the K third nodes as a node to deploy the MEC server.
In the method for determining the MEC node, based on the preset MEC boundary database, when the MEC server needs to be deployed, a node set for deploying the MEC server can be determined by inquiring configuration information of the nodes in the MEC boundary database according to a service demand area, service quality parameters of a service and deployment information of an application server of the service. According to the method for determining the MEC, a large number of complex calculation and analysis processes are not needed, and by inquiring the database, service personnel can quickly obtain the node set for deploying the MEC server, so that the analysis time of the service personnel can be reduced, and the deployment efficiency of the MEC server is improved.
Optionally, the configuration information of the node further includes: one or more of an identity of the node, a node type, a network coverage area, and a frequency resource; the node types comprise a base station, an internet data center IDC, a backbone network node, a sink node, an access network node or a relay node.
Optionally, querying the MEC boundary database according to the service demand area to obtain a first node set, where the method includes: inquiring an MEC boundary database according to the service demand area to obtain a fourth node set, wherein the fourth node set comprises all fourth nodes positioned in the service demand area, and the node type of the fourth nodes is a base station; for each fourth node, all nodes in the network coverage range of the fourth node are searched from the MEC boundary database; and forming the first node set by all fourth nodes included in the fourth node set and all nodes in the network coverage range of each fourth node.
Optionally, the deployment information of the application server includes an identifier of a node where the application server is located; inquiring an MEC boundary database according to the deployment information of the application server and the service quality parameters of the service to obtain a second node set, wherein the method comprises the following steps: searching target MEC area information from an MEC boundary data path according to the identifier of the node where the application server is located and the service quality parameter of the service, wherein the target MEC area information corresponds to the service quality parameter of the service, and belongs to the node where the application server is located; and forming a second node set by the node where the application server is located and all the nodes indicated by the target MEC area information.
Optionally, selecting at least one third node from the K third nodes as a node for deploying the MEC includes: inquiring an MEC boundary database according to K third nodes in the third node set to obtain the network coverage of each third node in the K third nodes; determining a second network service area according to the network coverage range of the K third nodes; according to a second network service area, inquiring an MEC boundary database, and screening out M third nodes from K third nodes, wherein any one of the M third nodes is a node capable of providing service meeting the service quality parameter requirement of the service in the second network service area; at least one third node is selected from the M third nodes as a node to deploy the MEC server.
In a second aspect, the present application provides an apparatus for determining an MEC node, the apparatus comprising: the acquiring unit is used for acquiring a service demand area, service quality parameters of the service and deployment information of an application server of the service. The query unit is used for querying the MEC boundary database according to the service demand area to obtain a first node set; the first node set comprises at least one first node, and the first node is a node capable of providing service for a service demand area; the MEC boundary database is used for storing configuration information of each node in the network, the configuration information of the node comprises a deployment position and at least one MEC area information, one MEC area information corresponds to one service quality parameter, and the MEC area information is used for indicating at least one other node which can communicate with the node and meet the requirement of the service quality parameter corresponding to the MEC area information. The query unit is further configured to query the MEC boundary database according to the deployment information of the application server and the service quality parameter of the service, to obtain a second node set, where the second node set includes at least one second node, and the second node is a node capable of performing communication meeting the service quality parameter requirement of the service with the application server. And the processing unit is used for taking the difference obtained by subtracting the second node set from the first node set as a third node set, wherein the third node set comprises K third nodes, and K is a positive integer. The processing unit is further configured to select at least one third node from the K third nodes as a node to deploy the MEC server.
Optionally, the configuration information of the node further includes: one or more of an identification of the node, a node type, network coverage, and frequency resources. The node types comprise a base station, an internet data center IDC, a backbone network node, a sink node, an access network node or a relay node.
Optionally, the querying unit of the apparatus is specifically configured to query the MEC boundary database according to the service demand area to obtain a fourth node set, where the fourth node set includes all fourth nodes located in the service demand area, and a node type of the fourth node is a base station; and for each fourth node, searching all nodes within the network coverage range of the fourth node from the MEC boundary database. And the processing unit is further configured to form the first node set by all fourth nodes included in the fourth node set and all nodes within the network coverage of each fourth node.
Optionally, the deployment information of the application server includes an identifier of a node where the application server is located. The query unit of the device is specifically configured to search, according to the identifier of the node where the application server is located and the service quality parameter of the service, target MEC area information from the MEC boundary data path, where the target MEC area information corresponds to the service quality parameter of the service and belongs to the node where the application server is located. The processing unit is further configured to form a second node set with the node where the application server is located and all nodes indicated by the target MEC area information.
Optionally, the processing unit of the apparatus is specifically configured to: inquiring an MEC boundary database according to K third nodes in the third node set to obtain the network coverage of each third node in the K third nodes; determining a second network service area according to the network coverage range of the K third nodes; according to a second network service area, inquiring an MEC boundary database, and screening out M third nodes from K third nodes, wherein any one of the M third nodes is a node capable of providing service meeting the service quality parameter requirement of the service in the second network service area; at least one third node is selected from the M third nodes as a node to deploy the MEC server.
In a third aspect, the present application provides an apparatus for determining an MEC node, including one or more processors and a memory; wherein one or more computer programs are stored in the memory, the one or more computer programs comprising instructions which, when executed by the determining means of the MEC node, cause the determining means of the MEC node to perform any one of the methods provided in the first aspect above.
In a fourth aspect, a computer-readable storage medium is provided, which stores computer instructions that, when executed on a computer, cause the computer to perform any one of the methods provided in the first aspect above.
The technical effects brought by any one of the possible schemes in the second aspect to the fourth aspect may be analyzed in the beneficial effects corresponding to the first aspect, and are not described herein again.
Drawings
Fig. 1 is a schematic diagram of a communication system according to an embodiment of the present application;
fig. 2 is a schematic hardware structure diagram of a device for determining an MEC node according to an embodiment of the present disclosure;
fig. 3 is a flowchart of a method for determining an MEC node according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of MEC region information provided in an embodiment of the present application;
fig. 5 is a flowchart of another method for determining an MEC node according to an embodiment of the present disclosure;
fig. 6 is a schematic composition diagram of a device for determining an MEC node according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless otherwise specified.
In the description of the present application, it is to be noted that the terms "connected" and "connected" are to be interpreted broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected, unless explicitly stated or limited otherwise. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art. In addition, when a pipeline is described, the terms "connected" and "connected" are used in this application to have a meaning of conducting. The specific meaning is to be understood in conjunction with the context.
In the embodiments of the present application, words such as "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
For the problems in the background art, embodiments of the present application provide a method and an apparatus for determining an MEC node, which may query, based on a preset MEC boundary database, the MEC boundary database according to a service demand area, a service quality parameter of a service, and deployment information of an application server of the service, and further obtain a node set that may serve as a deployment MEC server through analysis according to existing data in the MEC boundary database. And a large amount of complex calculation and analysis processes are not needed, and the MEC server can be deployed more quickly.
The technical scheme provided by the embodiment of the application can be applied to various communication systems, for example, the fifth generation (5) is adoptedthgeneration, 5G) communication system, future evolution system or multiple communication convergence system, etc. Taking the 5G communication system as an example, as shown in fig. 1, the 5G communication system includes a terminal device 01, a network device 02, a node 03, a node 04, a node 05, a node 06, a node 07, a node 08, a node 09, and a node 10. In general, in practical applications, the connections between the above-mentioned devices or service functions may be wireless connections, and fig. 1 illustrates the connections between the devices by solid lines for convenience of intuitively representing the connections between the devices.
Illustratively, the terminal device 01 provided by the present application is used for providing voice and/or data connectivity services to a user. The terminal device 01 may be configured to implement services in an enhanced mobile broadband (eMBB) scenario, such as services of high-speed downloading, high-definition video, virtual reality/augmented reality (VR/AR), and the like; and the method can also be used for realizing the services in ultra-reliable and low latency communications (URLLC) scenes, such as automatic driving, industrial control, telemedicine and the like. Alternatively, terminal equipment 01 may be referred to by different names, such as User Equipment (UE), access terminal, terminal unit, terminal station, mobile station, remote terminal, mobile device, wireless communication device, vehicular user equipment, terminal agent or terminal device, among other equipment used for communicating over a wireless system. Optionally, the terminal device 01 may be various handheld devices, vehicle-mounted devices, wearable devices, computers, and the like with communication functions, and this is not limited in this embodiment of the present application. For example, the handheld device may be a smartphone, the in-vehicle device may be a car navigation system, the wearable device may be a smart band, and the computer may be a Personal Digital Assistant (PDA) computer, a tablet computer, and a laptop computer (laptop).
Illustratively, the network device 02 provided by the present application is used for providing a network connection service for a terminal. Alternatively, the network device 02 may be a base station (BTS) in a global system for mobile communication (GSM), a base station (node B, NB) in a Code Division Multiple Access (CDMA), a base station (evolved node B, eNB) in a Wideband Code Division Multiple Access (WCDMA), an eNB in a Long Term Evolution (LTE), an internet of things (internet of things, IoT) or a narrowband base-internet of things (NB-IoT), a base station in a future 5G mobile communication network, a base station in a future evolved Public Land Mobile Network (PLMN), a new radio base station, a new macro base station, a micro base station, or a high frequency base station, and the like, and the present embodiment does not limit the present invention.
Illustratively, the nodes (including node 03, node 04, node 05, node 06, node 07, node 08, node 09, and node 10) provided in the present application are used for storing traffic data and providing network services for the terminal device 01, and specifically, different nodes may store traffic data of different services. In the embodiment of the present invention, the node may be a wireless base station, an Internet Data Center (IDC), a backbone network node, a Sink node, a wired access network node, or a relay node.
The MEC node provided in the embodiment of the present application is configured to provide a resource calculation service for a service initiated by the terminal device 01. Optionally, the MEC node may be an MEC server deployed in the network device 02 or an MEC server deployed in a node provided in this application (including node 03, node 04, node 05, node 06, node 07, node 08, node 09, and node 10), where the MEC server may be one server in a server cluster (composed of multiple servers), may also be a chip in the one server, may also be a system on chip in the one server, and may also be implemented by a Virtual Machine (VM) deployed on a physical machine.
It should be noted that the MEC node provided in the embodiment of the present invention is an MEC edge cloud, and may provide an edge computing service for the terminal.
For example, a device or equipment for executing the method for determining the MEC node provided in the embodiment of the present application may be a device for determining the MEC node, and fig. 2 is a schematic hardware structure diagram of the device for determining the MEC node provided in the embodiment of the present application. As shown in fig. 2, the MEC node determination apparatus 1000 includes a processor 1001, and optionally, a memory 1002 and a transceiver 1003 connected to the processor 1001. The processor 1001, the memory 1002, and the transceiver 1003 are connected by a bus 1004.
The processor 1001 may be a Central Processing Unit (CPU), a general purpose processor Network Processor (NP), a Digital Signal Processor (DSP), a microprocessor, a microcontroller, a Programmable Logic Device (PLD), or any combination thereof. The processor 1001 may also be any other device with processing capabilities, such as a circuit, a device, or a software module. The processor 1001 may also include a plurality of CPUs, and the processor 1001 may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, or processing cores that process data (e.g., computer program instructions).
Memory 1002 may be a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, but is not limited to, electrically erasable programmable read-only memory (EEPROM), compact disk read-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 1002 may be separate or integrated with the processor 1001. The memory 1002 may be configured to store an MEC boundary database provided in the embodiment of the present application. In addition, the memory 1002 may include computer program codes, and the processor 1001 is configured to execute the computer program codes stored in the memory 1002, so as to implement the method for determining an MEC node provided in the embodiment of the present application. In addition to this, the present invention is,
the transceiver 1003 may be used for communicating with other devices or communication networks (e.g., ethernet, Radio Access Network (RAN), Wireless Local Area Networks (WLAN), etc.). The transceiver 1003 may be a module, a circuit, a transceiver, or any device capable of enabling communication.
The bus 1004 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus 1004 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 2, but it is not intended that there be only one bus or one type of bus.
The following specifically describes a method for determining an MEC node provided by the present application, with reference to the accompanying drawings of the specification.
As shown in fig. 3, an embodiment of the present application provides a method for determining an MEC node, where the method includes the following steps:
s101, the determining device of the MEC node obtains a service demand area, service quality parameters of the service and deployment information of an application server of the service.
The service types of the services may include high-speed downloading, high-definition video, automatic driving, or industrial control. Different service types may correspond to different Service Level Agreement (SLA) indexes and quality of service (QoS) indexes.
In addition, the service demand area refers to an area where an operator needs to provide a communication service for the service when the user is performing the service, that is, an area where the service needs to deploy the MEC server. The service quality parameter of the service is specifically an SLA index and a QoS index corresponding to the service type of the service. The deployment information of the application server of the service may include information such as a deployment location and a network coverage of the application server of the service.
The application server of the service comprises a server which can provide the service for the current user. In this embodiment, the application server may be a server of an edge cloud of an MEC that has been deployed, such as a home host (micro host, mini host, etc.), an industrial gateway, a Customer Premise Equipment (CPE), and the like, which may provide an edge computing service.
The SLA metrics include Availability (Availability), Accuracy (Accuracy), system Capacity (Capacity), and Latency (Latency), among others. The QoS metrics may include resource type (e.g., GBR, non-GBR, Delay Critical GBR), expected Delay (PDB), Packet Error Rate (PER), Maximum Data Burst Volume (MDBV), data rate Averaging Window (Default Averaging Window), and so on.
It should be understood that in a 5G network, the quality of service parameter of the service may be a 5QI value of the service. Where the 5QI value is a scalar that can be used as a reference for the 5G QoS feature.
In some embodiments, before performing step S101, the determining device of the MEC node may receive a service request sent by the terminal device, where the service request may include information of a service type, a service location, and the like. The service location may be location information of the terminal device.
Correspondingly, after receiving a service request sent by a terminal device, the determining device of the MEC node may determine a service demand area, a service quality parameter of the service, and deployment information of an application server of the service according to a service type and a service location of the service request.
The service location may be location information of the terminal device, the service type may include high-speed downloading, high-definition video, automatic driving, industrial control, and the like, and the requirements of bandwidth, reliability, time delay, and the like of different service types are different, so that service demand areas of different services, service quality parameters of the services, and deployment information of the application servers of the services may be different.
S102, the MEC node determining device queries an MEC boundary database according to the service demand area to obtain a first node set.
The MEC boundary database is used for storing configuration information of each node in the network. For example, the MEC boundary database may include configuration information of each node within a geographic range operable by an operator.
Further, the configuration information of one node may include a deployment location of the node and at least one MEC area information. The method comprises the steps that an MEC area message corresponds to a service quality parameter, and the MEC area message is used for indicating at least one other node which can communicate with the node and meets the service quality parameter requirement corresponding to the MEC area message.
Illustratively, fig. 4 shows an MEC area information of one node. As shown in fig. 4, the node 21, the node 22, the node 23, the node 24, the node 25, the node 26, and the node 27 are other nodes capable of performing communication with the node 20 that satisfies the requirement of the quality of service parameter corresponding to the MEC area information.
The following describes a process of determining MEC zone information:
and S1, determining the MEC boundary node.
Illustratively, as shown in fig. 4, in the communication system, the node 20 may correspond to a plurality of transmittable paths, each including one or more other nodes.
On a transmittable path of a node, at least one node having a communication distance with the node smaller than or equal to the maximum communication distance is an MEC boundary node.
The maximum communication distance of a node may be determined according to the qos parameter, and the maximum communication distance may be understood as the farthest effective distance that the node can reach when sending the service data corresponding to the qos parameter, that is, the farthest distance that the node can perform communication meeting the qos parameter requirement.
And S2, determining the MEC area according to the MEC boundary nodes.
As shown in fig. 4, if the node 21, the node 23, the node 24, and the node 27 are the nodes having the maximum communication distance from the node 20 on the path 1, the path 2, the path 3, or the path 4, respectively, among the nodes having the communication distance from the node 20 that is less than or equal to the maximum communication distance from the node 20 under the quality of service parameter corresponding to the MEC area information, the MEC boundary node 21, the node 23, the node 24, and the node 27 of the node 20 are provided. Furthermore, boundary 1, boundary 2, boundary 3, and boundary 4 may be determined from the four MEC boundary nodes of the node 20, and boundary 1, boundary 2, boundary 3, and boundary 4 may constitute the MEC area of the node 20.
S3, the MEC area information is used to indicate at least one node within the MEC area.
The MEC area information of one node may indicate at least one other node in the MEC area of the quality of service parameter corresponding to the MEC area information, that is, at least one other node capable of performing communication meeting the requirement of the quality of service parameter corresponding to the MEC area information with the node.
Illustratively, as shown in fig. 4, MEC area information of the node 20 under the quality of service parameters of the traffic may be used to indicate the node 21, the node 22, the node 23, the node 24, the node 25, the node 26 and the node 27.
Optionally, the configuration information of the nodes in the MEC boundary database further includes: one or more of an identification of the node, a node type, network coverage, and frequency resources.
The identifier of the node is used to indicate the node, which may be a name or a serial number of the node, and has uniqueness. The node types comprise a base station, IDC, a backbone network node, a sink node, an access network node or a relay node. The network coverage of a node may be determined according to the signal coverage performance of the node, and thus, the network coverage of each node may be the same or different. The frequency resource of the node refers to a frequency band specified for use, and the richer the frequency resource is, the higher the transmission rate can be realized.
Optionally, in this embodiment of the present application, the service provided by the network node may be classified according to the QoS index and the SLA index, and the services at different levels may correspond to different QoS indexes and SLA indexes.
Illustratively, the traffic classification may be as shown in table 1:
TABLE 1
Figure BDA0003433408950000101
Figure BDA0003433408950000111
Further, in this embodiment of the present application, in at least one MEC area information of one node, one MEC area information corresponds to one service level.
Illustratively, the configuration information of one node may be as shown in table 2 below:
TABLE 2
Figure BDA0003433408950000112
Further, the MEC boundary database may store the service hierarchy shown in table 1 and the configuration information of the node shown in table 2. Therefore, the determining device of the MEC node queries the MEC boundary database according to the service quality parameter of the service, so as to obtain the service level of the service and further obtain the MEC region information corresponding to the service level of the service.
It should be understood that, before deploying the MEC server, the MEC node determining device may obtain directly available configuration information of the network service area of the operator, the node type, the deployment location, the network coverage area, and the like of each node in the network service area, and further determine at least one MEC area information of each node according to the above steps S1-S3. The MEC boundary database shown in table 1 is generated based on directly available configuration information of each node and MEC area information of each node.
In addition, the first node set includes at least one first node, and the first node is a node capable of providing service for a service demand area.
It should be understood that the coverage areas of all the first nodes in the first node set may be combined to form a first network service area of the first node set, and the first network service area may cover the service requirement area. Therefore, the first node is a candidate node of the deployable MEC server preliminarily determined by the determining device of the MEC node, and the first node set is a set of candidate nodes of the deployable MEC server preliminarily determined by the determining device of the MEC node.
S103, the MEC node determining device queries an MEC boundary database according to the deployment information of the application server and the service quality parameters of the service to obtain a second node set.
The second node set comprises at least one second node, and the second node is a node capable of communicating with the application server to meet the service quality parameter requirement of the service.
Optionally, the deployment information of the application server further includes an identifier of a node where the application server is located.
The identifier of the node where the application server is located has uniqueness, and one identifier may indicate one node. For example, the identifier of the node where the application server is located may be a node number, a node name, or other identifier capable of indicating the node.
In some embodiments, the MEC node determining device may search the target MEC area information from the MEC boundary database according to the identifier of the node where the application server is located and the service quality parameter of the service, and further form the second node set with the node where the application server is located and all nodes indicated by the target MEC area information.
The target MEC area information corresponds to the service quality parameter of the service, and belongs to the node where the application server is located.
It should be understood that the deployment location of the node where the application server is located is within the service demand area, and the node where the application server is located is a node that does not need to deploy the MEC server. And the node indicated by the target MEC area information can perform communication meeting the requirement of the service quality parameter of the service with the node where the application server is located, so that the node indicated by the target MEC area information is also a node without deploying an MEC server. Therefore, the second node set determined in step S103 is a set of nodes that do not need to deploy the MEC server.
S104, the determining device of the MEC node takes the difference of the first node set minus the second node set as a third node set.
The third node set comprises K third nodes, and K is a positive integer. It should be understood that the third set of nodes includes all nodes belonging to the first set of nodes but not to the second set of nodes.
It should be noted that, since the first node set is a set of candidate nodes capable of deploying the MEC server preliminarily determined by the determination device for the MEC node, and the second node set is a set of nodes not requiring to deploy the MEC server, the determination device for the MEC node subtracts the second node set from the first node set to obtain the candidate nodes requiring the MEC server in the first node set, and the third node set is a set of candidate nodes requiring to deploy the MEC server.
S105, the determining device of the MEC node selects at least one third node from the K third nodes as a node for deploying the MEC server.
The K third nodes are all candidate nodes which need the MEC server and are determined by the determination device of the MEC node.
It should be noted that, due to the difference between the service type, the user requirement, and the cost required for deploying the MEC server at each node, the operator may comprehensively analyze the actual service condition, and instruct the determining device of the MEC node to select at least one third node from the K third nodes as the node for deploying the MEC server.
As a possible implementation manner, the step S105 may be implemented as the following steps S1051 to S1054:
s1051, the determining device of the MEC node inquires the MEC boundary database according to the K third nodes in the third node set to obtain the network coverage of each third node in the K third nodes.
S1052, the determining device of the MEC node determines the second network service area according to the network coverage of the K third nodes.
And S1053, the determining device of the MEC node inquires the MEC boundary database according to the second network service area, and screens out M third nodes from the K third nodes.
Wherein M is a positive integer and is not more than K. Any one of the M third nodes is a node capable of providing a service meeting the service quality parameter requirements of the service in the second network service area.
S1054, the determining device of the MEC node selects at least one third node from the M third nodes as a node for deploying the MEC server.
It should be understood that, since M is less than or equal to K, the determining device of the MEC node selects at least one third node from the M third nodes as the node for deploying the MEC server, thereby further reducing the number of the nodes for deploying the MEC server and reducing the deployment cost of the MEC server.
In the embodiment of the application, based on the preset MEC boundary database, when the MEC server needs to be deployed, the node set for deploying the MEC server can be determined by querying configuration information of nodes in the MEC boundary database according to the service demand area, the service quality parameter of the service, and the deployment information of the application server of the service. According to the method for determining the MEC, a large number of complex calculation and analysis processes are not needed, and by inquiring the database, service personnel can quickly obtain the node set for deploying the MEC server, so that the analysis time of the service personnel can be reduced, and the deployment efficiency of the MEC server is improved.
Alternatively, based on the method shown in fig. 3, as shown in fig. 5, the step S102 may be implemented as the following steps S1021 to S1023:
and S1021, the determining device of the MEC node queries the MEC boundary database according to the service demand area to obtain a fourth node set.
The fourth node set comprises all fourth nodes located in the service demand area, and the node type of the fourth nodes is a base station.
Specifically, the MEC node determining device searches configuration information of each node recorded in the MEC boundary database according to the service demand area, extracts at least one fourth node in which the node position is in the service demand area and the node type is a base station, and the at least one fourth node forms the fourth node set.
It should be noted that, according to the combination of the network coverage ranges of the fourth nodes in the fourth node set, a fourth network service area may be formed, and the fourth network service area may cover the service demand area.
Optionally, the fourth node set may include all fourth nodes whose node positions are in the service requirement area and whose node types are base stations, or the fourth node set may also include N fourth nodes whose node positions are in the service requirement area and whose node types are base stations, where N is a positive integer.
The N fourth nodes belong to all fourth nodes whose node positions are in the service demand area and whose node types are base stations, and the N fourth nodes are the minimum nodes of which the fourth network service area can cover the service demand area. It should be understood that the smaller the nodes in the fourth node set, the fewer the nodes that the MEC node determination means finally determines need to deploy the MEC server, and thus, if the fourth node set includes N fourth nodes, the deployment cost of the MEC server may be reduced.
S1022, for each fourth node, the determining device of the MEC node finds all the nodes in the network coverage area of the fourth node from the MEC boundary database.
Specifically, the MEC node determining device may search the network coverage of each fourth node from the MEC boundary database, and determine all nodes whose deployment positions are within the network coverage of the fourth node according to the deployment position of each node in the MEC boundary database.
S1023, the MEC node determination device uses all fourth nodes included in the fourth node set and all nodes in the network coverage area of each fourth node to form the first node set.
It should be understood that each first node in the first node set is a candidate node where the MEC server may be deployed. Moreover, the network coverage of each first node in the first node set may cover the service demand area, so that the first node provides service for the service demand area.
Based on the above embodiment, the fourth node set may be obtained by querying the MEC boundary database, and then, according to the fourth node set, the set of candidate nodes that can deploy the MEC server, that is, the first node set, may be determined more accurately.
The above description has presented the scheme provided herein primarily from a methodological perspective. It will be appreciated that the means for determining the MEC node, in order to carry out the above-described functions, may comprise corresponding hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the present invention can be implemented in hardware or a combination of hardware and computer software, in conjunction with the exemplary algorithm steps described in connection with the embodiments disclosed herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The functional modules of the determining device of the MEC node may be divided according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, the division of the modules in the present application is schematic, and is only a logical function division, and there may be another division manner in actual implementation.
Fig. 6 is a schematic composition diagram of a device for determining an MEC node according to an embodiment of the present disclosure. As shown in fig. 6, the MEC node determination apparatus 2000 includes an acquisition unit 2001, a query unit 2002, and a processing unit 2003.
The obtaining unit 2001 is configured to obtain a service demand area, a service quality parameter of a service, and deployment information of an application server of the service.
A querying unit 2002, configured to query the MEC boundary database according to the service demand area to obtain a first node set; the first node set comprises at least one first node, and the first node is a node capable of providing service for a service demand area; the MEC boundary database is used for storing configuration information of each node in the network, the configuration information of the node comprises a deployment position and at least one MEC area information, one MEC area information corresponds to one service quality parameter, and the MEC area information is used for indicating at least one other node which can communicate with the node and meet the requirement of the service quality parameter corresponding to the MEC area information.
The querying unit 2002 is further configured to query the MEC boundary database according to the deployment information of the application server and the service quality parameter of the service, to obtain a second node set, where the second node set includes at least one second node, and the second node is a node capable of performing communication meeting the service quality parameter requirement of the service with the application server.
And a processing unit 2003, configured to use a difference obtained by subtracting the second node set from the first node set as a third node set, where the third node set includes K third nodes, and K is a positive integer.
The processing unit 2003 is further configured to select at least one third node from the K third nodes as a node for deploying the MEC server.
In some embodiments, the configuration information of the node further comprises: one or more of an identification of the node, a node type, network coverage, and frequency resources. The node types comprise a base station, an internet data center IDC, a backbone network node, a sink node, an access network node or a relay node.
In some embodiments, the querying unit 2002 is specifically configured to query the MEC boundary database according to the service demand area to obtain a fourth node set, where the fourth node set includes all fourth nodes located in the service demand area, and a node type of the fourth node is a base station; and for each fourth node, searching all nodes in the network coverage range of the fourth node from the MEC boundary database. The processing unit 2003 is further configured to form the first node set by all the fourth nodes included in the fourth node set and all the nodes within the network coverage of each fourth node.
In some embodiments, the deployment information for the application server includes an identification of the node where the application server is located. The querying unit 2002 is specifically configured to search, according to the identifier of the node where the application server is located and the service quality parameter of the service, target MEC area information from the MEC boundary data path, where the target MEC area information corresponds to the service quality parameter of the service, and the target MEC area information belongs to the node where the application server is located. The processing unit 2003 is further configured to form a second node set by the node where the application server is located and all nodes indicated by the target MEC area information.
In some embodiments, the processing unit 2003 is specifically configured to: inquiring an MEC boundary database according to K third nodes in the third node set to obtain the network coverage of each third node in the K third nodes; determining a second network service area according to the network coverage range of the K third nodes; according to a second network service area, inquiring an MEC boundary database, and screening out M third nodes from K third nodes, wherein any one of the M third nodes is a node capable of providing service meeting the service quality parameter requirement of the service in the second network service area; at least one third node is selected from the M third nodes as a node to deploy the MEC server.
The elements in fig. 6 may also be referred to as modules, for example, the processing elements may be referred to as processing modules. In addition, in the embodiment shown in fig. 6, the names of the respective units may not be the names shown in the figure, and for example, the acquisition unit may also be referred to as a communication unit.
The respective units in fig. 6, if implemented in the form of software functional modules and sold or used as separate products, may be stored in a computer-readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially implemented or make a contribution to the prior art, or all or part of the technical solutions may be implemented in the form of a software product stored in a storage medium, and including several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the methods described in the embodiments of the present application. A storage medium storing a computer software product comprising: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The embodiment of the present application further provides a computer-readable storage medium, which includes computer-executable instructions, and when the computer-readable storage medium is run on a computer, the computer is caused to execute any one of the methods provided by the above embodiments.
The embodiments of the present application also provide a computer program product containing instructions for executing a computer, which when executed on a computer, causes the computer to perform any one of the methods provided by the above embodiments.
An embodiment of the present application further provides a chip, including: a processor coupled to the memory through the interface, and an interface, when the processor executes the computer program or the computer execution instructions in the memory, the processor causes any one of the methods provided by the above embodiments to be performed.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented using a software program, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer-executable instructions. The processes or functions described in accordance with the embodiments of the present application occur, in whole or in part, when computer-executable instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer executable instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer executable instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). Computer-readable storage media can be any available media that can be accessed by a computer or can comprise one or more data storage devices, such as servers, data centers, and the like, that can be integrated with the media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a Digital Video Disk (DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), etc.
While the present application has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
The above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method for determining an MEC node, the method comprising:
acquiring a service demand area, service quality parameters of a service and deployment information of an application server of the service;
inquiring an MEC boundary database according to the service demand region to obtain a first node set; the first node set comprises at least one first node, and the first node is a node capable of providing service for the service demand area; the MEC boundary database is used for storing configuration information of each node in a network, the configuration information of the node comprises a deployment position and at least one MEC area information, one MEC area information corresponds to one service quality parameter, and the MEC area information is used for indicating at least one other node which can communicate with the node and meet the requirement of the service quality parameter corresponding to the MEC area information;
inquiring the MEC boundary database according to the deployment information of the application server and the service quality parameters of the service to obtain a second node set, wherein the second node set comprises at least one second node, and the second node is a node capable of communicating with the application server to meet the service quality parameter requirements of the service;
taking the difference obtained by subtracting the second node set from the first node set as a third node set, where the third node set includes K third nodes, and K is a positive integer;
selecting at least one third node from the K third nodes as a node for deploying the MEC server.
2. The method of claim 1, wherein the configuration information of the node further comprises: one or more of the node's identity, node type, network coverage, and frequency resources;
the node types comprise a base station, an Internet Data Center (IDC), a backbone network node, a sink node, an access network node or a relay node.
3. The method of claim 2, wherein querying the MEC boundary database to obtain the first set of nodes according to the service demand region comprises:
inquiring the MEC boundary database according to the service demand area to obtain a fourth node set, wherein the fourth node set comprises all fourth nodes located in the service demand area, and the node types of the fourth nodes are base stations;
for each fourth node, searching all nodes in the network coverage range of the fourth node from the MEC boundary database;
and forming the first node set by all fourth nodes included in the fourth node set and all nodes in the network coverage range of each fourth node.
4. The method of claim 2, wherein the deployment information of the application server includes an identification of a node where the application server is located;
the querying, according to the deployment information of the application server and the service quality parameter of the service, the MEC boundary database to obtain a second node set includes:
searching target MEC area information from the MEC boundary data path according to the identifier of the node where the application server is located and the service quality parameter of the service, wherein the target MEC area information corresponds to the service quality parameter of the service, and belongs to the node where the application server is located;
and forming the second node set by the node where the application server is located and all the nodes indicated by the target MEC area information.
5. The method according to any of claims 2 to 3, wherein said selecting at least one third node from said K third nodes as a node for deploying an MEC comprises:
inquiring the MEC boundary database according to K third nodes in the third node set to obtain the network coverage of each third node in the K third nodes;
determining a second network service area according to the network coverage range of the K third nodes;
according to the second network service area, inquiring the MEC boundary database, and screening out M third nodes from the K third nodes, wherein any one of the M third nodes is a node capable of providing service meeting the service quality parameter requirement of the service in the second network service area;
selecting at least one third node from the M third nodes as a node to deploy the MEC server.
6. An apparatus for determining an MEC node, the apparatus comprising:
an obtaining unit, configured to obtain a service demand area, a service quality parameter of a service, and deployment information of an application server of the service
The query unit is used for querying the MEC boundary database according to the service demand area to obtain a first node set; the first node set comprises at least one first node, and the first node is a node capable of providing service for the service demand area; the MEC boundary database is used for storing configuration information of each node in a network, the configuration information of the node comprises a deployment position and at least one MEC area information, one MEC area information corresponds to one service quality parameter, and the MEC area information is used for indicating at least one other node which can communicate with the node and meet the requirement of the service quality parameter corresponding to the MEC area information;
the query unit is further configured to query the MEC boundary database according to the deployment information of the application server and the service quality parameter of the service, so as to obtain a second node set, where the second node set includes at least one second node, and the second node is a node capable of performing communication meeting the service quality parameter requirement of the service with the application server;
a processing unit, configured to use a difference obtained by subtracting the second node set from the first node set as a third node set, where the third node set includes K third nodes, and K is a positive integer;
and the processing unit is further configured to select at least one third node from the K third nodes as a node for deploying the MEC server.
7. The apparatus of claim 6, wherein the configuration information of the node further comprises: one or more of the node's identity, node type, network coverage, and frequency resources;
the node types comprise a base station, an Internet Data Center (IDC), a backbone network node, a sink node, an access network node or a relay node.
8. The apparatus of claim 7,
the query unit is specifically configured to query the MEC boundary database according to the service demand area to obtain a fourth node set, where the fourth node set includes all fourth nodes located in the service demand area, and a node type of the fourth node is a base station; for each fourth node, searching all nodes in the network coverage range of the fourth node from the MEC boundary database;
the processing unit is further configured to form the first node set by using all fourth nodes included in the fourth node set and all nodes within a network coverage of each fourth node.
9. The apparatus of claim 7, wherein the deployment information of the application server comprises an identification of a node where the application server is located;
the query unit is specifically configured to search, according to the identifier of the node where the application server is located and the service quality parameter of the service, target MEC area information from the MEC boundary data path, where the target MEC area information corresponds to the service quality parameter of the service and belongs to the node where the application server is located;
the processing unit is further configured to form the second node set with the node where the application server is located and all nodes indicated by the target MEC area information.
10. The apparatus according to claim 7 or 8, wherein the processing unit is specifically configured to:
inquiring the MEC boundary database according to K third nodes in the third node set to obtain the network coverage of each third node in the K third nodes;
determining a second network service area according to the network coverage range of the K third nodes;
according to the second network service area, inquiring the MEC boundary database, and screening out M third nodes from the K third nodes, wherein any one of the M third nodes is a node capable of providing service meeting the service quality parameter requirement of the service in the second network service area;
selecting at least one third node from the M third nodes as a node to deploy the MEC server.
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