WO2024104284A1

WO2024104284A1 - Nwdaf-based management and decision-making method for computing resources

Info

Publication number: WO2024104284A1
Application number: PCT/CN2023/131194
Authority: WO
Inventors: 王晓云; 胡玉双; 孙滔
Original assignee: 中国移动通信有限公司研究院; 中国移动通信集团有限公司
Priority date: 2022-11-16
Filing date: 2023-11-13
Publication date: 2024-05-23
Also published as: CN115499859A; CN115499859B

Abstract

Embodiments of the present disclosure relate to the technical field of communications, and provide an NWDAF-based management and decision-making method for computing resources. The method comprises: acquiring computing power resource information, wherein the computing power resource information comprises at least one of terminal computing power resource information, server computing power resource information, mobile network computing power resource information, computing power resource prediction information, and computing power resource historical information; according to the computing power resource information or according to the computing power resource information and the type and/or priority of a computing power node, allocating a routing policy suggestion to a terminal having a computing power service demand; and sending the routing policy suggestion to a PCF, wherein the routing policy suggestion is used for assisting the PCF in updating a computing power configuration policy.

Description

A method for managing and deciding computing resources based on NWDAF

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to Chinese Patent Application No. 202211431728.0 filed in China on November 16, 2022, the entire contents of which are incorporated herein by reference.

Technical Field

The disclosed embodiments relate to the field of communication technology, and specifically to a method for managing and making decisions on computing resources based on a network data analysis function (Network Data Analytics Function, NWDAF).

Background technique

With the development of the fifth generation mobile communication technology (5G) network, new services such as augmented reality (AR)/virtual reality (VR) and cloud games have put forward higher requirements for computing and networks. However, the computing power of the current 5G network is not effectively utilized by the mobile network and cannot meet the communication needs of ultra-low latency, high mobility, dynamic business needs, energy saving and other scenarios. Therefore, it is necessary to study the computing network for the expansion and enhancement of 5G/5G (5G-Advanced, 5G-A) to achieve computing and network integration through the perception, control and management of computing resources.

However, there is currently a lack of relevant definitions on how the core network perceives and obtains computing resource information. How the core network supports the management and decision-making of computing resources is an urgent problem to be solved.

Summary of the invention

The embodiment of the present disclosure provides a method for managing and making decisions on computing resources based on NWDAF, so as to solve the problem of how a core network supports the management and decision-making of computing resources.

In a first aspect, a method for managing and making decisions on computing resources based on NWDAF is provided, which is applied to NWDAF and includes:

Obtain computing power resource information, including terminal computing power resource information, server computing power resource information, mobile network computing power resource information, computing power resource prediction information, computing power resource history At least one of the information;

Allocate routing policy recommendations to terminals with computing power service requirements based on the computing power resource information, or based on the computing power resource information and the type and/or priority of the computing power node;

The routing policy suggestion is sent to the PCF, where the routing policy suggestion is used to assist the PCF in updating the computing power configuration policy.

Optionally, computing resource information is obtained, including at least one of the following:

Receive terminal computing resource information sent by the terminal;

Receive server computing resource information and the address of the server sent by AF;

Receive mobile network computing resource information sent by OAM or OMC.

Optionally, the terminal computing resource information sent by the receiving terminal includes:

Use UDM to obtain the terminal computing resource information sent by the terminal during the registration process.

Optionally, receiving the server computing resource information and the address of the server sent by the AF includes:

The server computing resource information and the address of the server sent by the AF are received through the NEF.

Optionally, according to the computing power resource information, or according to the computing power resource information and the type and/or priority of the computing power node, a routing policy suggestion is allocated to a terminal having a computing power service demand, including:

According to the computing power resource information and the computing power routing table, or according to the computing power resource information and the computing power routing table and the type and/or priority of the computing power node, a routing policy suggestion is allocated to the terminal with computing power service demand.

Optionally, also include:

Receive a first request message sent by AMF, where the first request message is used to request allocation of a routing policy for a terminal with a computing power demand service, and the first request message carries real-time terminal computing power resource information.

Optionally, the computing power configuration strategy includes: location information of a target network element, and at least one item of a transmission path of the target network element, wherein the target network element is a computing power node that provides services for the terminal.

Optionally, the computing power resource prediction information includes: at least one of predicted terminal computing power resource information, predicted server computing power resource information, and predicted mobile network computing power resource information;

The computing power resource history information includes: historical terminal computing power resource information, historical server At least one of computing power resource information and historical mobile network computing power resource information.

Optionally, the predicted terminal computing power resource information or the historical terminal computing power resource information includes: terminal computing power resource information, and terminal computing power resource usage time and/or usage priority;

The predicted server computing power resource information or the historical server computing power resource information includes: server computing power resource information, and usage time and/or usage priority of the server computing power resource;

The predicted mobile network computing power resource information or the historical mobile network computing power resource information includes: mobile network computing power resource information, and mobile network computing power resource usage time and/or usage priority.

Optionally, the terminal computing resource information includes at least one of the terminal location, central processing unit CPU occupancy, graphics processing unit GPU occupancy and memory occupancy;

The server computing power resource information includes: at least one of the number of supported task connections, CPU occupancy, GPU occupancy, memory occupancy, resource form, and server location;

The mobile network computing power resource information includes: at least one of the current network hardware infrastructure resources, the current network load and the resource utilization rate of each computing power node in the current network.

In a second aspect, a method for managing and making decisions on computing resources based on NWDAF is provided, which is applied to PCF, including:

Receive a routing policy suggestion sent by the NWDAF, where the routing policy suggestion is allocated by the NWDAF to a terminal with computing power service demand according to computing power resource information, or according to computing power resource information and the type and/or priority of computing power nodes, where the computing power resource information includes at least one of terminal computing power resource information, server computing power resource information, mobile network computing power resource information, computing power resource prediction information, and computing power resource history information;

The computing power configuration strategy is updated according to the routing strategy suggestion.

Optionally, the method further includes:

Send the updated computing power configuration policy to AMF.

The computing power resource history information includes: at least one of historical terminal computing power resource information, historical server computing power resource information, and historical mobile network computing power resource information.

In a third aspect, a device for managing and making decisions on computing resources based on NWDAF is provided, which is applied to NWDAF and includes:

A first acquisition module is used to acquire computing power resource information, wherein the computing power resource information includes at least one of terminal computing power resource information, server computing power resource information, mobile network computing power resource information, computing power resource prediction information, and computing power resource history information;

A processing module, configured to allocate routing policy suggestions to terminals with computing power service requirements according to the computing power resource information, or according to the computing power resource information and the type and/or priority of the computing power node;

The first sending module is used to send the routing strategy suggestion to the PCF, where the routing strategy suggestion is used to assist the PCF in updating the computing power configuration strategy.

In a fourth aspect, a device for managing and making decisions on computing resources based on NWDAF is provided, which is applied to PCF, including:

The first receiving module is configured to receive a routing policy suggestion sent by the NWDAF, wherein the routing policy suggestion is allocated by the NWDAF to a terminal having a computing power service demand according to computing power resource information, or according to computing power resource information and the type and/or priority of computing power nodes, wherein the computing power resource information The information includes at least one of terminal computing resource information, server computing resource information, mobile network computing resource information, computing resource prediction information, and computing resource history information;

An updating module is used to update the computing power configuration strategy according to the routing strategy suggestion.

In a fifth aspect, a communication device is provided, comprising a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect or the second aspect.

In a sixth aspect, a readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect or the second aspect are implemented.

In the disclosed embodiments, the NWDAF function is enhanced to support the management of computing resource information and provide routing policy recommendations for the PCF, so that the PCF can update the computing power configuration policy according to the routing policy recommendations, thereby enabling the core network to support the management and decision-making of computing resources.

BRIEF DESCRIPTION OF THE DRAWINGS

Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present disclosure. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

FIG1 is a schematic diagram of a method for managing and making decisions on computing resources based on NWDAF provided in an embodiment of the present disclosure;

FIG2 is a second schematic diagram of a method for managing and making decisions on computing resources based on NWDAF provided in an embodiment of the present disclosure;

Fig. 3 is a schematic diagram of Example 1;

FIG4 is a schematic diagram of Example 2;

FIG5 is a schematic diagram of Example 3;

FIG6 is a schematic diagram of a device for managing and making decisions on computing resources based on NWDAF provided in an embodiment of the present disclosure;

FIG7 is a second schematic diagram of a device for managing and making decisions on computing resources based on NWDAF provided in an embodiment of the present disclosure;

FIG8 is a schematic diagram of a communication device provided by an embodiment of the present disclosure.

Detailed ways

The following will be combined with the drawings in the embodiments of the present disclosure to clearly and completely describe the technical solutions in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

The term "comprise" and any variation thereof in the specification and claims of the present disclosure are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices. In addition, the use of "and/or" in the specification and claims to indicate at least one of the connected objects, such as A and/or B, indicates that there are three situations including A alone, B alone, and both A and B.

In the embodiments of the present disclosure, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present disclosure should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

Referring to FIG. 1 , an embodiment of the present disclosure provides a method for managing and making decisions on computing resources based on NWDAF in a scenario where a service-oriented architecture and a computing power network are combined. The executor of the method is NWDAF, and the specific steps include: step 101, step 102, and step 103.

Step 101: Obtain computing power resource information, where the computing power resource information includes at least one of terminal computing power resource information, server computing power resource information, mobile network computing power resource information, computing power resource prediction information, and computing power resource history information;

Among them, the terminal computing power resource information, server computing power resource information, and mobile network computing power resource information included in the computing power resource information belong to respective real-time computing power resource information, that is, the computing power resource information can include at least one of the real-time terminal computing power resource information, the real-time server computing power resource information, and the real-time mobile network computing power resource information. The computing power resource information can also include computing power resource prediction information and/or computing power resource history information, so that it can also be combined with the computing power resource prediction information of the node for a period of time in the future and/or the computing power resources occupied by the node for a period of time before. The computing power resource historical information is used to pre-allocate computing power tasks to ensure the service experience of computing power users, that is, the computing power resource information can also include at least one of the predicted terminal computing power resource information, the predicted server computing power resource information, and the predicted mobile network computing power resource information, and the computing power resource information can also include at least one of the historical terminal computing power resource information, the historical server computing power resource information, and the historical mobile network computing power resource information.

Optionally, the computing power resource history information includes: at least one of historical terminal computing power resource information, historical server computing power resource information, and historical mobile network computing power resource information.

For example, the terminal reports predicted terminal computing power resource information based on historical computing power resource information, the server reports predicted server computing power resource information based on historical computing power resource information, and the operation and maintenance management (OAM) or operation and maintenance center (OMC) reports predicted mobile network computing power resource information based on historical computing power resource information. Alternatively, NWDAF may predict the predicted terminal computing power resource information, predicted server computing power resource information, and predicted mobile network computing power resource information for a period of time in the future based on historical terminal computing power resource information, historical server computing power resource information, and historical mobile network computing power resource information.

The usage priority may also be referred to as a priority factor that can be requisitioned.

It can be understood that the usage time can be used to indicate the time when the computing power resources were previously requisitioned, or the time when the computing power resources are expected to be requisitioned, and the usage priority can be used to indicate the priority with which the computing power resources were previously requisitioned, or the priority with which the computing power resources are expected to be requisitioned.

Optionally, the predicted server computing power resource information or the historical server computing power resource information includes: server computing power resource information, and usage time and/or usage priority of the server computing power resource;

Optionally, the predicted mobile network computing power resource information or the historical mobile network computing power resource information includes: mobile network computing power resource information, and mobile network computing power resource usage time and/or usage priority.

Among them, the terminal computing resource information may include at least one of the terminal location, central processing unit (CPU) occupancy rate, graphics processing unit (GPU) occupancy rate and memory occupancy rate.

Server computing resource information may include: at least one of the number of supported task connections, CPU occupancy, GPU occupancy, memory occupancy, resource form (physical/virtual), server location, etc.

The mobile network computing resource information may include at least one of the entire network hardware infrastructure resources, the current network load, and the resource utilization rate of each computing node in the current network reported by the Operation Administration and Maintenance (OAM) or the Operation and Maintenance Center (OMC), wherein the resource utilization rate of the computing node includes at least one of the CPU occupancy rate, GPU and storage occupancy rate, etc.

Step 102: Allocate a routing policy suggestion to a terminal having computing power service requirements according to the computing power resource information, or according to the computing power resource information and the type and/or priority of the computing power node;

Among them, the computing power nodes may include wireless access network elements and/or core network elements, that is, network elements that can provide computing power resources.

The type of computing power node is used to indicate the extent to which the resources of the computing power node can be occupied. The type of computing power node may be related to the content processed by the computing power node, such as signaling nodes, business nodes, etc., but of course it is not limited to this.

The priority of a computing node is used to indicate the degree to which the resources of the computing node can be occupied. For example, the computing resources of signaling nodes have a lower priority, which means that the computing resources of signaling nodes should be minimized.

In one embodiment of the present disclosure, by allocating routing policy recommendations to terminals with computing power service needs based on computing power resource information and the type and/or priority of computing power nodes, it is possible to fully consider whether the resources of the computing power nodes in the current network can be occupied, thereby improving the reliability of the allocated routing policy recommendations and avoiding interference with the normal operation of certain important computing power nodes.

In one embodiment of the present disclosure, when a user makes a request to establish a network session with a service that requires computing power, NWDAF can make the best selection for a determined routing strategy or update the routing strategy for an existing session based on the real-time computing power resource information, computing power resource prediction information and/or computing power resource history information of each party collected from the terminal, OAM and/or AF, and send the determined or updated target routing strategy as a routing strategy recommendation to the PCF.

Among them, the routing policy allocation recommendation may include determining the session management function (SMF), user plane function (UPF) and location information and transmission path of the corresponding server (such as application server) that provide services to the terminal.

Optionally, NWDAF may also determine the usage of computing resources in the current area terminals, servers and/or mobile networks based on the computing resource information.

Step 103: Send the routing policy suggestion to the Policy Control Function (PCF), and the routing policy suggestion is used to assist the PCF in updating the computing power configuration strategy.

Optionally, the computing power configuration strategy includes: location information of the target network element, and at least one item of the transmission path of the target network element, wherein the target network element is a computing power node that provides services for the terminal, such as a session management function (SMF), a user plane function (UPF), a server, etc.

In one embodiment of the present disclosure, a method for obtaining computing power resource information includes at least one of the following:

Method 1: Receive terminal computing resource information sent by the terminal;

For example, the terminal computing resource information sent by the terminal during the registration process is obtained through unified data management (UDM).

Method 2: Receive the server computing resource information of the server registration and the address of the server sent by the application function (AF);

For example, the server computing resource information and the address of the server sent by AF are received through the Network Exposure Function (NEF).

Method 3: Receive mobile network computing resource information sent by OAM or OMC.

In one implementation of the present disclosure, according to the computing power resource information, or according to the computing power resource information and the type and/or priority of the computing power node, a routing strategy suggestion is allocated to a terminal having computing power service requirements, including:

receiving a first request message sent by an Access and Mobility Management Function (AMF), where the first request message is used to request allocation of a routing policy for a terminal with a computing power demand service, and the first request message carries real-time terminal computing power resource information;

According to the computing power resource information and the computing power routing table, or according to the computing power resource information and the computing power routing table, and the type and/or priority of the computing power node, a route is allocated to a terminal with computing power service requirements. Suggested by Strategy.

Optionally, the computing power routing table includes: routing information of computing power nodes (such as terminals, SMF, UPF, etc.) and servers related to each computing power demand, and the routing information may be an IP address.

In the disclosed embodiments, the NWDAF function is enhanced to support the management of computing resource information and provide routing policy recommendations for the PCF, so that the PCF can update the computing power configuration policy according to the routing policy recommendations, so that the core network supports the management and decision-making of computing resources.

2 , an embodiment of the present disclosure provides a method for managing and making decisions on computing resources based on NWDAF. The method is performed by PCF, and the specific steps include: step 201 and step 202 .

Step 201: receiving a routing policy suggestion sent by NWDAF, where the routing policy suggestion is allocated by the NWDAF to a terminal with computing power service demand according to computing power resource information, or according to computing power resource information and the type and/or priority of computing power nodes, where the computing power resource information includes at least one of terminal computing power resource information, server computing power resource information, mobile network computing power resource information, computing power resource prediction information, and computing power resource history information;

Step 202: Update the computing power configuration strategy according to the routing strategy suggestion.

In one embodiment of the present disclosure, the method further includes: sending the updated computing power configuration policy to the AMF.

In this way, AMF can perform session selection based on the updated computing power configuration policy, and request NWDAF to allocate routing policy recommendations for UEs with computing power demand services, carrying the UE's real-time terminal computing power resource information.

In one embodiment of the present disclosure, the computing power configuration strategy includes: location information of a target network element, and at least one item of a transmission path of the target network element, wherein the target network element is a computing power node that provides services for the terminal.

For example, the terminal reports the predicted terminal computing resource information based on the historical computing resource information, the server reports the predicted server computing resource information based on the historical computing resource information, and the OAM or OMC reports the predicted mobile network computing resource information based on the historical computing resource information, or it can also be NWDAF Based on the historical terminal computing power resource information, the historical server computing power resource information, and the historical mobile network computing power resource information, the predicted terminal computing power resource information, the predicted server computing power resource information, and the predicted mobile network computing power resource information for a period of time in the future are respectively predicted.

The server computing power resource information includes: at least one of the number of supported task connections, CPU occupancy, GPU occupancy, memory occupancy, resource form and server location;

Embodiment 1: The terminal computing power information is carried by the terminal (such as user equipment (UE)) and reported to NWDAF.

Referring to FIG. 3 , the specific steps include:

Step 301: After completing the UE registration process, the UDM reports the UE's terminal computing resource information (real-time terminal computing resource information) to the NWDAF;

Alternatively, the predicted terminal computing power resource information is reported through step 301, or the historical terminal computing power resource information is reported.

Step 302: In the Protocol Data Unit (PDU) session establishment process After that, AMF sends a first request message to NWDAF, where the first request message is used to request allocation of a routing policy for a UE with a computing power demand service, and the first request message carries real-time terminal computing power resource information of the UE;

Step 303: NWDAF analyzes and makes routing decision recommendations based on the currently collected computing power resource information, where the method of collecting computing power resource information includes at least one of the following: (1) UE carries terminal computing power resource information and reports it to NWDAF; (2) registers with AF through the server and reports it to NWDAF via NEF; (3) OAM (or OMC) obtains global hardware resources and resource utilization of the current computing power node, such as CPU occupancy and/or storage occupancy.

Among them, NWDAF distributes routing strategy recommendations to UEs with computing power business needs by maintaining a set of computing power routing tables that serve UEs with different computing power requirements, and regularly analyzes and recommends computing power configuration strategies to PCF. PCF updates the computing power configuration strategy. The computing power configuration strategy includes at least one of the location information and transmission path of the selected SMF, UPF and corresponding server.

Step 304: NWDAF sends the routing policy suggestion to PCF.

Step 305: PCF sends a computing power configuration strategy to AMF, where the computing power configuration strategy includes at least one of the location information and transmission path of the selected SMF, UPF and corresponding server.

Embodiment 2: registering to AF through the server and reporting to NWDAF through NEF.

Referring to FIG. 4 , the specific steps include:

Step 401: During the initial registration of the application, the address of the server providing the service and the server computing resource information (real-time server computing resource information) of the server are reported to the NEF.

Alternatively, the predicted server computing power resource information is reported through step 401, or the historical server computing power resource information is reported.

Optionally, the server computing power resource information includes at least one of the following: the number of task connections that can be supported, supply capabilities such as CPU, memory, resource form (physical/virtual), and deployment location.

Step 402: NEF replies to AF receiving a response;

Step 403: NEF synchronizes the server computing resource information to NWDAF;

Step 404: NWDAF replies with a reception response;

Step 405: NWDAF performs a comprehensive analysis of the computing resources available on the entire network based on the updated data and makes a routing decision.

Example 3: Obtaining global hardware resources and current computing nodes through OAM (or OMC) Resource utilization.

Referring to FIG. 5 , the specific steps include:

Step 501: NWDAF periodically requests OAM for mobile network computing resource information (real-time mobile network computing resource information).

Optionally, the mobile network computing power resource information includes: the entire network hardware infrastructure resources in the OMC and at least one of the resource utilization rates of each current computing power node, such as CPU occupancy rate and/or storage occupancy rate, etc.

Step 502: OAM synchronizes the information to NWDAF.

Alternatively, the predicted mobile network computing power resource information is reported through step 502, or the historical mobile network computing power resource information is reported.

Step 503: NWDAF performs a comprehensive analysis of the computing resources available in the entire network based on the updated data and makes a routing decision.

It can be understood that in Example 1, Example 2 and Example 3, NWDAF can also predict the predicted terminal computing power resource information, predicted server computing power resource information, and predicted mobile network computing power resource information for a period of time in the future based on historical terminal computing power resource information, server computing power resource information, and mobile network computing power resource information.

6 , an embodiment of the present disclosure provides a device for managing and making decisions on computing resources based on NWDAF, which is applied to NWDAF. The device 600 includes:

The first acquisition module 601 is used to acquire computing power resource information, where the computing power resource information includes at least one of terminal computing power resource information, server computing power resource information, mobile network computing power resource information, computing power resource prediction information, and computing power resource history information;

Processing module 602, configured to allocate routing policy suggestions to terminals with computing power service requirements according to the computing power resource information, or according to the computing power resource information and the type and/or priority of the computing power node;

The first sending module 603 is used to send the routing strategy suggestion to the PCF, where the routing strategy suggestion is used to assist the PCF in updating the computing power configuration strategy.

In one embodiment of the present disclosure, the method of obtaining computing resource information includes at least the following: one:

Method 1: Receive terminal computing resource information sent by the terminal;

For example, the terminal computing resource information sent by the terminal during the registration process is obtained through UDM.

Method 2: receiving server computing resource information and the address of the server sent by AF;

For example, the server computing resource information and the address of the server sent by the AF are received through the NEF.

In one embodiment of the present disclosure, the processing module 602 includes:

A first receiving unit is used to receive a first request message sent by the AMF, where the first request message is used to request allocation of a routing policy for a terminal with a computing power demand service, and the first request message carries real-time terminal computing power resource information;

A processing unit is used to allocate routing policy recommendations to terminals with computing power service needs based on the computing power resource information and the computing power routing table, or based on the computing power resource information and the routing table, and the type and/or priority of the computing power node.

The mobile network computing power resource information includes: current network hardware infrastructure resources, current network At least one of the network load and the resource utilization rate of each computing power node in the current network.

The device provided in the embodiment of the present disclosure can implement each process implemented by the method embodiment shown in Figure 1 and achieve the same technical effect. To avoid repetition, it will not be described here.

7 , an embodiment of the present disclosure provides a device for managing and making decisions on computing resources based on NWDAF, which is applied to PCF. The device 700 includes:

The first receiving module 701 is used to receive a routing policy suggestion sent by the NWDAF, where the routing policy suggestion is allocated by the NWDAF to a terminal with computing power service demand according to computing power resource information, or according to computing power resource information and the type and/or priority of computing power nodes, where the computing power resource information includes at least one of terminal computing power resource information, server computing power resource information, mobile network computing power resource information, computing power resource prediction information, and computing power resource history information;

The updating module 702 is used to update the computing power configuration strategy according to the routing strategy suggestion.

In one embodiment of the present disclosure, the device further comprises:

The second sending module is used to send the updated computing power configuration policy to AMF.

The device provided in the embodiment of the present disclosure can implement each process implemented by the method embodiment shown in Figure 2 and achieve the same technical effect. To avoid repetition, it will not be described here.

As shown in FIG8 , the embodiment of the present disclosure further provides a communication device 800, including a processor 801, a memory 802, and a program or instruction stored in the memory 802 and executable on the processor 801, wherein the program or instruction is executed by the processor 801 to implement each process of the method embodiment of FIG1 or FIG2 , and can achieve the same technical effect. To avoid repetition, it will not be described here.

The embodiments of the present disclosure also provide a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the method embodiment shown in FIG. 1 or FIG. 2 is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

The processor is the processor in the terminal described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

The steps of the method or algorithm described in conjunction with the disclosed content of the present disclosure may be implemented in a hardware manner or by executing software instructions in a processor. The software instructions may be composed of corresponding software modules, and the software modules may be stored in RAM, flash memory, ROM, erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), registers, hard disks, mobile hard disks, read-only optical disks, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium may also be a component of the processor. The processor and the storage medium may be carried in an application specific integrated circuit (ASIC). In addition, the ASIC may be carried in a core network interface device. Of course, the processor and the storage medium may also exist in the core network interface device as discrete components.

Those skilled in the art should be aware that in one or more of the above examples, the present disclosure The functions described may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media include any media that facilitates the transfer of a computer program from one place to another. Storage media may be any available media that can be accessed by a general-purpose or special-purpose computer.

The specific implementation methods described above further illustrate the purpose, technical solutions and beneficial effects of the present disclosure. It should be understood that the above description is only the specific implementation method of the present disclosure and is not intended to limit the protection scope of the present disclosure. Any modifications, equivalent substitutions, improvements, etc. made on the basis of the technical solutions of the present disclosure should be included in the protection scope of the present disclosure.

It should be understood by those skilled in the art that the embodiments of the present disclosure may be provided as a method, a system, or a computer program product. Therefore, the embodiments of the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, compact disc read-only memory (CD-ROM), optical storage, etc.) containing computer-usable program code.

The disclosed embodiments are described with reference to the flowcharts and/or block diagrams of the methods, devices (systems), and computer program products according to the disclosed embodiments. It should be understood that each process and/or box in the flowchart and/or block diagram, as well as the combination of the processes and/or boxes in the flowchart and/or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in one process or multiple processes in the flowchart and/or one box or multiple boxes in the block diagram.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

These computer program instructions can also be loaded into a computer or other programmable data processing device so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented The processing, so that the instructions executed on the computer or other programmable device, provide steps for implementing the functions specified in one or more flows of the flowchart and/or one or more blocks of the block diagram.

Obviously, those skilled in the art can make various changes and modifications to the embodiments of the present disclosure without departing from the spirit and scope of the present disclosure. Thus, if these modifications and variations of the embodiments of the present disclosure fall within the scope of the claims of the present disclosure and their equivalents, the present disclosure is also intended to include these modifications and variations.

Claims

A method for managing and making decisions on computing resources based on NWDAF, applied to a network data analysis function NWDAF, the method comprising:

Obtain computing power resource information, wherein the computing power resource information includes at least one of terminal computing power resource information, server computing power resource information, mobile network computing power resource information, computing power resource prediction information, and computing power resource history information;

Allocate routing policy suggestions to terminals with computing power service requirements according to the computing power resource information, or according to the computing power resource information and the type and/or priority of the computing power node;

The routing policy suggestion is sent to the policy control function PCF, and the routing policy suggestion is used to assist the PCF in updating the computing power configuration policy.
The method according to claim 1, wherein obtaining computing resource information comprises at least one of the following:

Receive terminal computing power resource information sent by the terminal;

Receive server computing resource information and server address sent by application function AF;

Receive mobile network computing resource information sent by the Operation and Maintenance Management (OAM) or the Operation and Maintenance Center (OMC).
The method according to claim 2, wherein receiving the terminal computing resource information sent by the terminal comprises:

The terminal computing resource information sent by the terminal during the registration process is obtained through the unified data management (UDM).
The method according to claim 2, wherein receiving the server computing resource information and the server address sent by the AF comprises:

The server computing resource information and server address sent by AF are received through the network open function NEF.
The method according to claim 1, wherein, according to the computing power resource information, or according to the computing power resource information and the type and/or priority of the computing power node, a routing policy recommendation is allocated to a terminal with computing power service requirements, comprising:

According to the computing power resource information and the computing power routing table, or according to the computing power resource information, the computing power routing table, The computing power routing table and the type and/or priority of the computing power node are used to assign routing policy recommendations to terminals with computing power business needs.
The method according to claim 5, wherein, according to the computing power resource information, or according to the computing power resource information and the type and/or priority of the computing power node, a routing policy recommendation is allocated to a terminal with computing power service requirements, and further comprises:

Receive a first request message sent by the access and mobility management function AMF, where the first request message is used to request allocation of a routing policy for a terminal with a computing power demand service, and the first request message carries real-time terminal computing power resource information.
The method according to claim 1, wherein the computing power configuration strategy includes: location information of a target network element, and at least one item of a transmission path of the target network element, wherein the target network element is a computing power node that provides services for the terminal.
The method according to claim 1, wherein the computing power resource prediction information includes: at least one of predicted terminal computing power resource information, predicted server computing power resource information, and predicted mobile network computing power resource information;

The computing power resource history information includes: at least one of historical terminal computing power resource information, historical server computing power resource information, and historical mobile network computing power resource information.
The method according to claim 8, wherein the predicted terminal computing power resource information or the historical terminal computing power resource information includes: terminal computing power resource information, and terminal computing power resource usage time and/or usage priority;

The predicted server computing power resource information or the historical server computing power resource information includes: server computing power resource information, and usage time and/or usage priority of the server computing power resource;

The predicted mobile network computing power resource information or the historical mobile network computing power resource information includes: mobile network computing power resource information, and mobile network computing power resource usage time and/or usage priority.
The method according to claim 1 or 8, wherein the terminal computing resource information includes at least one of the terminal's location, central processing unit (CPU) occupancy, graphics processing unit (GPU) occupancy, and memory occupancy;

The server computing power resource information includes: at least one of the number of supported task connections, CPU occupancy, GPU occupancy, memory occupancy, resource form and server location;

The mobile network computing power resource information includes: at least one of the current network hardware infrastructure resources, the current network load and the resource utilization rate of each computing power node in the current network.
A method for managing and making decisions on computing resources based on NWDAF, applied to PCF, the method comprising:

Receive a routing policy suggestion sent by the NWDAF, where the routing policy suggestion is allocated by the NWDAF to a terminal with computing power service demand according to computing power resource information, or according to computing power resource information and the type and/or priority of computing power nodes, where the computing power resource information includes at least one of terminal computing power resource information, server computing power resource information, mobile network computing power resource information, computing power resource prediction information, and computing power resource history information;

The computing power configuration strategy is updated according to the routing strategy suggestion.
The method according to claim 11, further comprising:

Send the updated computing power configuration policy to AMF.
The method according to claim 11, wherein the computing power configuration strategy includes: location information of a target network element, and at least one of the transmission paths of the target network element, wherein the target network element is a computing power node that provides services for the terminal.
The method according to claim 11, wherein the computing power resource prediction information includes: at least one of predicted terminal computing power resource information, predicted server computing power resource information, and predicted mobile network computing power resource information;

The computing power resource history information includes: at least one of historical terminal computing power resource information, historical server computing power resource information, and historical mobile network computing power resource information.
The method according to claim 14, wherein the predicted terminal computing power resource information or the historical terminal computing power resource information includes: terminal computing power resource information, and terminal computing power resource usage time and/or usage priority;

The predicted server computing power resource information or the historical server computing power resource information includes: server computing power resource information, and usage time and/or usage priority of the server computing power resource;

The predicted mobile network computing power resource information or the historical mobile network computing power resource information includes: mobile network computing power resource information, and mobile network computing power resource usage time and/or usage priority.
The method according to claim 11 or 15, wherein the terminal computing power resource information packet The method includes at least one of the terminal location, CPU occupancy, GPU occupancy, and memory occupancy;

The server computing power resource information includes: at least one of the number of supported task connections, CPU occupancy, GPU occupancy, memory occupancy, resource form, and server location;

The mobile network computing power resource information includes: at least one of the current network hardware infrastructure resources, the current network load and the resource utilization rate of each computing power node in the current network.