CN115499859A - NWDAF-based method for managing and deciding computing resources - Google Patents
NWDAF-based method for managing and deciding computing resources Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/02—Arrangements for optimising operational condition
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- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
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- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
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Abstract
The embodiment of the application provides a method for managing and deciding computing resources based on NWDAF, which relates to the technical field of communication and comprises the following steps: acquiring computing resource information, wherein the computing resource information comprises at least one of terminal computing resource information, server computing resource information, mobile network computing resource information, computing resource prediction information and computing resource historical information; distributing routing strategy suggestions to the terminals with the computing power service requirements according to the computing power resource information or the computing power resource information and the types and/or the priorities of the computing power nodes; and sending the routing strategy suggestion to the PCF, wherein the routing strategy suggestion is used for assisting the PCF to update the calculation power configuration strategy, and the PCF can update the calculation power configuration strategy according to the routing strategy suggestion by enhancing the NWDAF function to support the management of calculation power resource information and providing the routing strategy suggestion for the PCF, thereby realizing that a core network can support the management and decision of calculation resources.
Description
Technical Field
The embodiment of the application relates to the technical field of communication, in particular to a method for managing and deciding computing resources based on a Network Data analysis Function (NWDAF).
Background
With the development of the fifth generation mobile communication technology (5 th generation,5 g) network, new services such as Augmented Reality (AR)/Virtual Reality (VR), cloud games and the like put higher requirements on both computing and network. However, the computing power of the current 5G network is not effectively utilized by the mobile network, and cannot meet the communication requirements of scenes such as ultra-low time delay, high mobility, dynamic service requirements, energy conservation and the like. Ext> thereforeext>,ext> itext> isext> necessaryext> toext> researchext> aext> 5ext> Gext> /ext> 5ext> Gext> -ext> orientedext> extendedext> andext> enhancedext> (ext> 5ext> Gext> -ext> Advancedext>,ext> 5ext> Gext> -ext> aext>)ext> computationalext> powerext> networkext>,ext> whichext> realizesext> computationalext> networkext> convergenceext> throughext> perceptionext>,ext> controlext> andext> managementext> ofext> computationalext> resourcesext>.ext>
However, currently, there is no relevant definition for how the core network perceives and acquires computational resource information, and how the core network supports management and decision of computational resources is an urgent problem to be solved.
Disclosure of Invention
The embodiment of the application aims to provide a method for managing and deciding computing resources based on NWDAF, and solve the problem of how a core network supports the management and decision of the computing resources.
In a first aspect, a method for computing resource management and decision based on NWDAF is provided, which is applied to NWDAF and includes:
acquiring computing resource information, wherein the computing resource information comprises at least one of terminal computing resource information, server computing resource information, mobile network computing resource information, computing resource prediction information and computing resource historical information;
distributing routing strategy suggestions to the terminals with the computing power service requirements according to the computing power resource information or the computing power resource information and the types and/or priorities of the computing power nodes;
and sending the routing strategy suggestion to the PCF, wherein the routing strategy suggestion is used for assisting the PCF to update the computational power configuration strategy.
Optionally, the obtaining of computing power resource information includes at least one of:
receiving terminal computing power resource information sent by a terminal;
receiving server computing resource information and an address of the server sent by AF;
and receiving the mobile network computing resource information sent by the OAM or the OMC.
Optionally, receiving the terminal computing resource information sent by the terminal includes:
and acquiring terminal computing resource information sent by the terminal in the registration process through the UDM.
Optionally, the receiving, by the AF, server computing resource information and an address of the server includes:
and receiving server computing resource information and the address of the server sent by the AF through the NEF.
Optionally, allocating a routing policy suggestion to a terminal with a computing power service requirement 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, where the routing policy suggestion includes:
and distributing routing strategy suggestions to the terminals with the computing power service requirements 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 and the types and/or the priorities of the computing power nodes.
Optionally, the method further includes:
receiving a first request message sent by the AMF, wherein the first request message is used for requesting to allocate a routing strategy for a terminal with a computing power demand service, and the first request message carries real-time terminal computing power resource information.
Optionally, the calculation force configuration policy includes: at least one of location information of a target network element and a transmission path of the target network element, wherein the target network element is a computational node serving the terminal.
Optionally, the calculation power resource prediction information includes: at least one of the predicted terminal computing resource information, the predicted server computing resource information and the predicted mobile network computing resource information;
the calculation resource historical information comprises: at least one item of historical terminal computing resource information, historical server computing resource information and historical mobile network computing resource information.
Optionally, the predicted terminal computing power resource information or the historical terminal computing power resource information includes: the terminal computing power resource information, the terminal computing power resource use time and/or the use priority;
the predicted server computing resource information or the historical server computing resource information includes: the server computing resource information and the use time and/or the use priority of the server computing resource;
the predicted mobile network computing resource information or the historical mobile network computing 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 a position of the terminal, a CPU occupancy rate of a central processing unit, a GPU occupancy rate of a graphics processor, and a memory occupancy rate;
the server computing resource information comprises: at least one of the supportable task connection number, CPU occupancy rate, GPU occupancy rate, memory occupancy rate, resource form and the position of the server;
the mobile network computing resource information comprises: at least one of current network hardware infrastructure resources, current network load, and resource usage by computational nodes in the current network.
In a second aspect, a method for NWDAF-based management and decision-making of computing resources is provided, which is applied to PCF, and includes:
receiving a routing strategy suggestion sent by an NWDAF (network-wide area network) and distributed to a terminal with a computing service requirement by the NWDAF according to computing power resource information or the computing power resource information and the type and/or priority of a computing power node, 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 history information;
and updating the calculation force configuration strategy according to the routing strategy suggestion.
Optionally, the method further includes:
and sending the updated computing power configuration strategy to the AMF.
Optionally, the calculation force configuration policy includes: at least one of location information of a target network element and a transmission path of the target network element, wherein the target network element is a computational node serving the terminal.
Optionally, the calculation power resource prediction information includes: at least one of predicted terminal computational power resource information, predicted server computational power resource information, and predicted mobile network computational power resource information;
the calculation resource historical information comprises: at least one item of historical terminal computing resource information, historical server computing resource information and historical mobile network computing resource information.
Optionally, the predicted terminal computing power resource information or the historical terminal computing power resource information includes: the terminal computing power resource information, the terminal computing power resource use time and/or the use priority;
the predicted server computing resource information or the historical server computing resource information includes: the server computing resource information and the use time and/or the use priority of the server computing resource;
the predicted mobile network computing resource information or the historical mobile network computing resource information includes: mobile network computing resource information, and mobile network computing resource usage time and/or usage priority.
Optionally, the terminal computing resource information includes at least one of a position of the terminal, a CPU occupancy rate of a central processing unit, a GPU occupancy rate of a graphics processor, and a memory occupancy rate;
the server computing resource information comprises: at least one of the supportable task connection number, CPU occupancy rate, GPU occupancy rate, memory occupancy rate, resource form and the position of the server;
the mobile network computing power resource information comprises: at least one of current network hardware infrastructure resources, current network load, and resource usage by computational nodes in the current network.
In a third aspect, an apparatus for computing resource management and decision based on NWDAF is provided, and applied to NWDAF, includes:
the first acquisition module is used for acquiring computing resource information, wherein the computing resource information comprises at least one of terminal computing resource information, server computing resource information, mobile network computing resource information, computing resource prediction information and computing resource historical information;
the processing module is used for distributing routing strategy suggestions to the terminals with the computing power service requirements according to the computing power resource information or the computing power resource information and the types and/or the priorities of the computing power nodes;
and the first sending module is used for sending the routing strategy suggestion to the PCF, and the routing strategy suggestion is used for assisting the PCF to update the computational power configuration strategy.
In a fourth aspect, an apparatus for management and decision-making of computing resources based on NWDAF is provided, which is applied to PCF, and includes:
the system comprises a first receiving module and a second receiving module, wherein the first receiving module is used for receiving a routing strategy suggestion sent by an NWDAF, the routing strategy suggestion is distributed to a terminal with a computing service demand by the NWDAF according to computing resource information or computing resource information and the type and/or priority of a computing node, and the computing resource information comprises at least one of terminal computing resource information, server computing resource information, mobile network computing resource information, computing resource prediction information and computing resource historical information;
and the updating module is used for updating the calculation power configuration strategy according to the routing strategy suggestion.
In a fifth aspect, there is provided a communication device comprising a processor, a memory and a program or instructions stored on the memory and executable on the processor, which when executed by the processor, implement the steps of the method according to the first or second aspect.
A sixth aspect provides a readable storage medium on which a program or instructions is stored, which program or instructions, when executed by a processor, performs the steps of the method of the first or second aspect.
In the embodiment of the application, by enhancing the management of the computation power resource information supported by the NWDAF function and providing the routing strategy suggestion for the PCF, the PCF can update the computation power configuration strategy according to the routing strategy suggestion, and further, the core network can support the management and decision of the computation resources.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is one of the schematic diagrams of a method for NWDAF-based management and decision-making of computing resources provided by an embodiment of the present application;
FIG. 2 is a second schematic diagram illustrating a method for managing and deciding computing resources based on NWDAF according to an exemplary embodiment of the present disclosure;
FIG. 3 is a schematic view of example 1;
FIG. 4 is a schematic view of example 2;
FIG. 5 is a schematic view of example 3;
FIG. 6 is one of schematic diagrams of an apparatus for NWDAF-based management and decision-making of computing resources provided by an embodiment of the present application;
FIG. 7 is a second schematic diagram of an apparatus for NWDAF-based management and decision-making of computing resources according to an embodiment of the present application;
fig. 8 is a schematic diagram of a communication device provided by an embodiment of the present application.
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 some, but not all, embodiments of the present application. 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 "comprises," "comprising," or any other variation thereof, in the description and claims of this application, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Furthermore, the use of "and/or" in the specification and claims means that at least one of the connected objects, such as a and/or B, means that three cases, a alone, B alone, and both a and B, exist.
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 "such as" 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 relevant concepts in a concrete fashion.
Referring to fig. 1, an embodiment of the present application provides a method for managing and deciding computing resources based on NWDAF in a scenario in which a service architecture and a computational power network are combined, where an execution subject of the method is NWDAF, and the method includes the specific steps of: step 101, step 102 and step 103.
Step 101: acquiring computing resource information, wherein the computing resource information comprises at least one of terminal computing resource information, server computing resource information, mobile network computing resource information, computing resource prediction information and computing resource historical information;
the computing resource information may further include computing resource prediction information and/or computing resource history information, so as to guarantee business experience of the computing user by performing computing task pre-allocation on the computing resource prediction information of the node in a future period and/or the computing resource history information of the computing resource occupied by the node in a previous period in combination with the computing resource node, that is, the computing resource information may further include at least one of predicted terminal computing resource information, predicted server computing resource information and predicted mobile network computing resource information, and the computing resource information may further include at least one of historical terminal computing resource information, historical server computing resource information and historical mobile network computing resource information.
Optionally, the calculation power resource prediction information includes: at least one of the predicted terminal computing resource information, the predicted server computing resource information and the predicted mobile network computing resource information;
optionally, the computation resource history information includes: at least one item of historical terminal computing resource information, historical server computing resource information and historical mobile network computing resource information.
For example, the terminal reports the predicted terminal computing power resource information according to the historical computing power resource information, the server reports the predicted server computing power resource information according to the historical computing power resource information, and the OAM or the OMC reports the predicted mobile network computing power resource information according to the historical computing power resource information, or the NWDAF predicts the predicted terminal computing power resource information, the predicted server computing power resource information, and the predicted mobile network computing power resource information in a future period of time according to the historical terminal computing power resource information, the historical server computing power resource information, and the historical mobile network computing power resource information respectively.
Optionally, the predicted terminal computing power resource information or the historical terminal computing power resource information includes: the terminal computing resource information, and the terminal computing resource use time and/or use priority;
wherein the usage priority may also be referred to as a priority factor that may be imposed.
It will be appreciated that the usage time may be used to indicate a time that an computing resource was assessed previously, or to indicate a time that the computing resource is expected to be assessed, and the usage priority may be used to indicate a priority that the computing resource is assessed previously, or to indicate a priority that the computing resource is expected to be assessed.
Optionally, the predicted server computing resource information or the historical server computing resource information includes: the server computing resource information and the use time and/or the use priority of the server computing resource;
optionally, the predicted mobile network computing resource information or the historical mobile network computing resource information includes: mobile network computing power resource information, and mobile network computing power resource usage time and/or usage priority.
The terminal computing resource information may include at least one of a location of the terminal, a Central Processing Unit (CPU) occupancy rate, a Graphics Processing Unit (GPU) occupancy rate, a memory occupancy rate, and the like.
The server computing resource information may include: at least one of the number of task connections that can be supported, CPU occupancy, GPU occupancy, memory occupancy, resource form (physical/virtual), location of the server, etc.
The mobile network computing resource information may include at least one of an Operation and Maintenance Administration and Maintenance (OAM) or an Operation and Maintenance Center (OMC) reported by the OAM information, a current network load, and a resource usage rate of each computing node in a current network, where the resource usage rate of the computing node includes at least one of a CPU occupancy rate, a GPU occupancy rate, a storage occupancy rate, and the like.
Step 102: distributing routing strategy suggestions to the terminals with the computing power service requirements according to the computing power resource information or the computing power resource information and the types and/or the priorities of the computing power nodes;
the computing node may include a radio access network element and/or a core network element, that is, a network element capable of providing computing resources.
The type of the computing power node is used to indicate a degree to which resources of the computing power node may be occupied, and the type of the computing power node may be related to the content processed by the computing power node, such as, but not limited to, a signaling class node, a traffic class node, and the like.
The priority of the computing node is used to indicate the degree that the resource of the computing node can be occupied, for example, the priority of the computing resource of the signaling class node is low, which indicates that the computing resource of the signaling class node is not occupied as much as possible.
In an embodiment of the application, a routing strategy proposal is allocated to a terminal with a computing power service requirement according to computing power resource information and the type and/or priority of a computing power node, so that whether the resource of the computing power node in the current network can be occupied or not can be fully considered, the reliability of the allocated routing strategy proposal is further improved, and the interference on the normal work of some important computing power nodes is avoided.
In an embodiment of the present application, when a user performs a network session establishment request with a service having a computing requirement, the NWDAF may optimally select a determined routing policy or update a routing policy of an existing session according to real-time computing resource information, computing resource prediction information, and/or computing resource history information of each party collected from a terminal, OAM, and/or AF, and send the determined or updated target routing policy as a routing policy suggestion to the PCF.
The routing policy assignment proposal may include location information and transmission paths for determining SMFs and UPFs and corresponding servers (such as application servers) serving the terminal.
Optionally, the NWDAF may also determine the computational resource usage in the current area terminal, the server and/or the mobile network according to the computational resource information.
Step 103: and sending the routing strategy suggestion to a Policy Control Function (PCF), wherein the routing strategy suggestion is used for assisting the PCF to update the computation power configuration strategy.
Optionally, the calculation force configuration policy includes: at least one of position information of a target network element and a transmission path of the target network element, where the target network element is a computing node providing a service for the terminal, such as a Session Management Function (SMF), a User Plane Function (UPF), a server, and the like.
In one embodiment of the present application, the manner of obtaining the computing resource information includes at least one of:
mode 1: receiving terminal computing power resource information sent by a terminal;
for example, the terminal computing resource information sent by the terminal in the registration process is obtained through Unified Data Management (UDM).
Mode 2: receiving server computing resource information registered by a server and an address of the server, wherein the server computing resource information is sent by an Application Function (AF);
for example, the server computing resource information and the address of the server sent by the AF are received through a Network Expose Function (NEF).
Mode 3: and receiving the mobile network computing resource information sent by the OAM or the OMC.
In an embodiment of the present application, allocating a routing policy suggestion to a terminal with a computing power service requirement according to the computing power resource information or according to the computing power resource information and a type and/or priority of a computing power node, includes:
receiving a first request message sent by an Access and Mobility Management Function (AMF), wherein the first request message is used for requesting to distribute a routing strategy for a terminal with a computing power demand service, and the first request message carries real-time terminal computing power resource information;
and distributing routing strategy suggestions to the terminals with the computing power service demands 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 types and/or the priorities of the computing power nodes.
Optionally, the computation force routing table includes: routing information for the computing nodes (e.g., terminals, SMFs, UPFs, etc.) and servers associated with each computing demand, which may be IP addresses.
In the embodiment of the application, the PCF can update the calculation power configuration strategy according to the routing strategy suggestion by enhancing the NWDAF function to support the management of calculation power resource information and providing the routing strategy suggestion for the PCF, so that the core network supports the management and decision of calculation resources.
Referring to fig. 2, an embodiment of the present application provides a method for NWDAF-based management and decision-making of computing resources, where an execution subject of the method is PCF, and the method includes the specific steps of: step 201 and step 202.
Step 201: receiving a routing strategy suggestion sent by an NWDAF, wherein the routing strategy suggestion is distributed to a terminal with a computing service demand by the NWDAF according to computing resource information or the computing resource information and the type and/or priority of a computing node, and the computing resource information comprises 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;
step 202: and updating the calculation force configuration strategy according to the routing strategy suggestion.
In one embodiment of the present application, the method further comprises: and sending the updated computational power configuration strategy to the AMF.
In this way, the AMF may perform session selection according to the updated computation power configuration policy, and allocate a routing policy suggestion to the UE having the computation power demand service by the NWDAF request, carrying the real-time terminal computation power resource information of the UE.
In one embodiment of the present application, the computational power configuration strategy includes: at least one of location information of a target network element and a transmission path of the target network element, wherein the target network element is a computational node serving the terminal.
Optionally, the calculation power resource prediction information includes: at least one of predicted terminal computational power resource information, predicted server computational power resource information, and predicted mobile network computational power resource information;
optionally, the computation resource history information includes: at least one item of historical terminal computing resource information, historical server computing resource information and historical mobile network computing resource information.
For example, the terminal reports the predicted terminal computing power resource information according to the historical computing power resource information, the server reports the predicted server computing power resource information according to the historical computing power resource information, and the OAM or the OMC reports the predicted mobile network computing power resource information according to the historical computing power resource information, or the NWDAF predicts the predicted terminal computing power resource information, the predicted server computing power resource information, and the predicted mobile network computing power resource information in a future period of time according to the historical terminal computing power resource information, the historical server computing power resource information, and the historical mobile network computing power resource information respectively.
Optionally, the predicted terminal computing power resource information or the historical terminal computing power resource information includes: the terminal computing resource information, and the terminal computing resource use time and/or use priority;
wherein the usage priority may also be referred to as a priority factor that may be imposed.
Optionally, the predicted server computing resource information or the historical server computing resource information includes: the server computing resource information and the use time and/or the use priority of the server computing resource;
optionally, the predicted mobile network computing resource information or the historical mobile network computing resource information includes: mobile network computing resource information, and mobile network computing resource usage time and/or usage priority.
Optionally, the terminal computing resource information includes at least one of a position of the terminal, a CPU occupancy rate of a central processing unit, a GPU occupancy rate of a graphics processor, and a memory occupancy rate;
the server computing resource information comprises: at least one of the supportable task connection number, CPU occupancy rate, GPU occupancy rate, memory occupancy rate, resource form and server position;
the mobile network computing power resource information comprises: at least one of current network hardware infrastructure resources, current network load, and resource usage rates of computing power nodes in the current network.
In the embodiment of the application, by enhancing the management of the computation power resource information supported by the NWDAF function and providing the routing policy suggestion for the PCF, the PCF can update the computation power configuration policy according to the routing policy suggestion, so that the core network supports the management and decision of the computation resources.
The first embodiment is as follows: and reporting the computation power information of the terminal carried by the terminal (such as User Equipment (UE)) to the NWDAF.
Referring to fig. 3, the specific steps include:
step 301: after the registration process of the UE is completed, the UDM reports terminal computing power resource information (real-time terminal computing power resource information) of the UE to the NWDAF;
or, the predicted terminal computing power resource information is reported through step 301, or the historical terminal computing power resource information is reported.
Step 302: after a Protocol Data Unit (PDU) session establishment flow, the AMF sends a first request message to the NWDAF, wherein the first request message is used for requesting to distribute a routing strategy for 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: the NWDAF carries out analysis and routing decision suggestion according to the currently acquired computing power resource information, wherein the mode of acquiring the computing power resource information comprises at least one of the following modes: (1) Reporting the calculated power resource information to NWDAF through the UE carrying the terminal; (2) Registering to AF through a server, and reporting to NWDAF through NEF; (3) The OAM (or OMC) acquires the global hardware resource and the resource utilization rate of the current computing power node, such as CPU occupancy rate and/or storage occupancy rate.
The NWDAF allocates routing strategy suggestions to the UE with the power calculation service requirements by maintaining a group of power calculation routing tables serving the UE with different power calculation requirements, and periodically performs power calculation configuration strategy analysis suggestions to the PCF, the PCF performs power calculation configuration strategy updating, and the power calculation configuration strategy comprises at least one of position information and a transmission path of selected SMFs and UPFs and corresponding servers.
Step 304: the NWDAF sends the routing policy proposal to the PCF.
Step 305: and the PCF sends a calculation force configuration strategy to the AMF, wherein the calculation force configuration strategy comprises at least one item of position information and transmission paths of the selected SMF, the UPF and the corresponding server.
Example two: registered to the AF through the server and reported to the NWDAF through the NEF.
Referring to fig. 4, the specific steps include:
step 401: in the process of application initial registration, the address of a Server (Server) providing service and Server computing resource information (real-time Server computing resource information) of the Server are reported to the NEF.
Or, the predicted server computing resource information is reported through step 401, or the historical server computing resource information is reported.
Optionally, the server computing resource information includes at least one of: the number of supportable task connections, the capabilities of the provisioning of CPU, memory, resource form (physical/virtual) deployment location, etc.
Step 402: the NEF replies an AF receiving response;
step 403: the NEF synchronizes the server computing resource information to the NWDAF;
step 404: the NWDAF replies with a receiving response;
step 405: the NWDAF can provide comprehensive analysis of computational resource functions and give routing decisions by carrying out the whole network based on the updated data.
Example three: and acquiring the resource utilization rate of the global hardware resource and the current computational power node by OAM (or OMC).
Referring to fig. 5, the specific steps include:
step 501: the NWDAF periodically requests mobile network computing resource information (real-time mobile network computing resource information) from the OAM.
Optionally, the mobile network computing resource information includes: the resource utilization rate of the whole network hardware infrastructure resource in the OMC and the current computing power nodes, such as CPU occupancy rate and/or storage occupancy rate and the like).
Step 502: the OAM synchronizes the information to the NWDAF.
Or reporting the predicted mobile network computing power resource information or reporting the historical mobile network computing power resource information through the step 502.
Step 503: the NWDAF can provide comprehensive analysis of computational resource functions and give routing decisions by carrying out the whole network based on the updated data.
It is to be understood that, in the first embodiment, the second embodiment and the third embodiment, the NWDAF may also predict the predicted terminal power resource information, the predicted server power resource information and the predicted mobile network power resource information in a future period of time according to the historical terminal power resource information, the server power resource information and the mobile network power resource information.
Referring to fig. 6, an embodiment of the present application provides an apparatus for management and decision-making of computing resources based on NWDAF, where the apparatus 600 includes:
a first obtaining module 601, configured to obtain computing resource information, where the computing resource 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;
a processing module 602, configured to allocate a routing policy suggestion to a terminal with a computing power service requirement 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;
a first sending module 603, configured to send the routing policy suggestion to a PCF, where the routing policy suggestion is used to assist the PCF in performing a computation power configuration policy update.
Optionally, the calculation force configuration policy includes: at least one of location information of a target network element and a transmission path of the target network element, wherein the target network element is a computational node serving the terminal.
In one embodiment of the present application, the manner of obtaining the computing resource information includes at least one of:
mode 1: receiving terminal computing resource information sent by a terminal;
for example, terminal computing resource information sent by the terminal in the registration process is obtained through the UDM.
Mode 2: receiving server computing resource information and an address of the server sent by AF;
for example, server computing resource information and the address of the server sent by the AF are received through the NEF.
Mode 3: and receiving the mobile network computing resource information sent by the OAM or the OMC.
In one embodiment of the present application, the processing module 602 includes:
a first receiving unit, configured to receive a first request message sent by an AMF, where the first request message is used to request a routing policy to be allocated to a terminal having a computing power demand service, and the first request message carries real-time terminal computing power resource information;
and the processing unit is used for distributing routing strategy suggestions to the terminals with the computing power service requirements according to the computing power resource information and the computing power routing table or according to the computing power resource information and the routing table and the types and/or the priorities of the computing power nodes.
Optionally, the calculation power resource prediction information includes: at least one of the predicted terminal computing resource information, the predicted server computing resource information and the predicted mobile network computing resource information;
the calculation resource historical information comprises: at least one item of historical terminal computing resource information, historical server computing resource information and historical mobile network computing resource information.
Optionally, the predicted terminal computing power resource information or the historical terminal computing power resource information includes: the terminal computing resource information, and the terminal computing resource use time and/or use priority;
the predicted server computing resource information or the historical server computing resource information includes: the server computing resource information and the use time and/or the use priority of the server computing resource;
the predicted mobile network computing power resource information or the historical mobile network computing power resource information includes: mobile network computing resource information, and mobile network computing resource usage time and/or usage priority.
Optionally, the terminal computing resource information includes at least one of a position of the terminal, a CPU occupancy rate of a central processing unit, a GPU occupancy rate of a graphics processor, and a memory occupancy rate;
the server computing resource information comprises: at least one of the supportable task connection number, CPU occupancy rate, GPU occupancy rate, memory occupancy rate, resource form and the position of the server;
the mobile network computing resource information comprises: at least one of current network hardware infrastructure resources, current network load, and resource usage rates of computing power nodes in the current network.
The device provided in the embodiment of the present application can implement each process implemented by the method embodiment shown in fig. 1, and achieve the same technical effect, and is not described here again to avoid repetition.
Referring to fig. 7, an embodiment of the present application provides an apparatus for management and decision-making of computing resources based on NWDAF, which is applied to PCF, and the apparatus 700 includes:
a first receiving module 701, configured to receive a routing policy suggestion sent by an NWDAF, where the routing policy suggestion is allocated by the NWDAF to a terminal with a computing service requirement according to computing resource information, or according to the computing resource information, and a type and/or priority of a computing node, where the computing resource 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 702, configured to perform a computation power configuration policy update according to the routing policy suggestion.
In one embodiment of the present application, the apparatus further comprises:
and the second sending module is used for sending the updated computational power configuration strategy to the AMF.
In one embodiment of the present application, the computational power configuration strategy includes: at least one of location information of a target network element and a transmission path of the target network element, wherein the target network element is a computational node serving the terminal.
Optionally, the calculation power resource prediction information includes: at least one of the predicted terminal computing resource information, the predicted server computing resource information and the predicted mobile network computing resource information;
the calculation resource historical information comprises: at least one item of historical terminal computing resource information, historical server computing resource information and historical mobile network computing resource information.
Optionally, the predicted terminal computing power resource information or the historical terminal computing power resource information includes: the terminal computing resource information, and the terminal computing resource use time and/or use priority;
the predicted server computing resource information or the historical server computing resource information includes: the server computing resource information and the use time and/or the use priority of the server computing resource;
the predicted mobile network computing power resource information or the historical mobile network computing power resource information includes: mobile network computing resource information, and mobile network computing resource usage time and/or usage priority.
Optionally, the terminal computing resource information includes at least one of a position of the terminal, a CPU occupancy rate of a central processing unit, a GPU occupancy rate of a graphics processing unit, and a memory occupancy rate;
the server computing resource information comprises: at least one of the supportable task connection number, CPU occupancy rate, GPU occupancy rate, memory occupancy rate, resource form and the position of the server;
the mobile network computing power resource information comprises: at least one of current network hardware infrastructure resources, current network load, and resource usage rates of computing power nodes in the current network.
The device provided in the embodiment of the present application can implement each process implemented in the method embodiment shown in fig. 2, and achieve the same technical effect, and is not described here again to avoid repetition.
As shown in fig. 8, the embodiment of the present application further provides a communication device 800, which includes a processor 801, a memory 802, and a program or instructions stored on the memory 802 and executable on the processor 801, where the program or instructions, when executed by the processor 801, implement the processes of the method embodiments of fig. 1 or fig. 2, and achieve the same technical effects. To avoid repetition, further description is omitted here.
An embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the program or the instruction implements each process of the method embodiment shown in fig. 1 or fig. 2, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
Wherein, 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 Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and so on.
The steps of a method or algorithm described in connection with the disclosure herein may be embodied in hardware or may be embodied in software instructions executed by a processor. The software instructions may consist of corresponding software modules that may be stored in RAM, flash memory, ROM, EPROM, EEPROM, registers, hard disk, a removable hard disk, a compact disk, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. In addition, the ASIC may be carried in a core network interface device. Of course, the processor and the storage medium may reside as discrete components in a core network interface device.
Those skilled in the art will recognize that in one or more of the examples described above, the functions described herein may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The above-mentioned embodiments, objects, technical solutions and advantages of the present application are further described in detail, it should be understood that the above-mentioned embodiments are only examples of the present application, and are not intended to limit the scope of the present application, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present application should be included in the scope of the present application.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the embodiments of the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the embodiments of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to encompass such modifications and variations.
Claims (16)
1. A method for managing and deciding computing resources based on a network data analysis function (NWDAF), which is applied to the NWDAF and is characterized by comprising the following steps:
acquiring computing resource information, wherein the computing resource information comprises at least one of terminal computing resource information, server computing resource information, mobile network computing resource information, computing resource prediction information and computing resource historical information;
distributing routing strategy suggestions to the terminals with the computing power service requirements according to the computing power resource information or the computing power resource information and the types and/or priorities of the computing power nodes;
and sending the routing strategy suggestion to a strategy control function PCF, wherein the routing strategy suggestion is used for assisting the PCF to update the computational power configuration strategy.
2. The method of claim 1, wherein obtaining computing resource information comprises at least one of:
receiving terminal computing resource information sent by a terminal;
receiving server computing resource information and a server address sent by an Application Function (AF);
and receiving the computing resource information of the mobile network sent by the operation maintenance management (OAM) or the Operation Maintenance Center (OMC).
3. The method of claim 2, wherein receiving the terminal computing power resource information sent by the terminal comprises:
and acquiring terminal computing resource information sent by the terminal in the registration process through the unified data management UDM.
4. The method of claim 2, wherein receiving server computing resource information and server address sent by the AF comprises:
and receiving the server computing resource information and the address of the server sent by the AF through a network open function NEF.
5. The method of claim 1, wherein assigning routing policy suggestions to terminals with a computing service requirement based on the computing resource information or based on the computing resource information and a type and/or priority of a computing node comprises:
and distributing routing strategy suggestions to the terminals with the computing power service requirements 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 and the types and/or the priorities of the computing power nodes.
6. The method of claim 5, wherein assigning routing policy suggestions to terminals with computational traffic demands based on the computational resource information, or based on the computational resource information and type and/or priority of computational nodes, further comprises:
receiving a first request message sent by an access and mobility management function (AMF), wherein the first request message is used for requesting to allocate a routing strategy for a terminal with a computing power demand service, and the first request message carries real-time terminal computing power resource information.
7. The method of claim 1, wherein the computational power configuration strategy comprises: at least one of location information of a target network element and a transmission path of the target network element, wherein the target network element is a computational node serving the terminal.
8. The method of claim 1, wherein the computational resource prediction information comprises: at least one of the predicted terminal computing resource information, the predicted server computing resource information and the predicted mobile network computing resource information;
the calculation resource historical information comprises: at least one item of historical terminal computing resource information, historical server computing resource information and historical mobile network computing resource information.
9. The method of claim 8, wherein the predicted terminal computing power resource information or the historical terminal computing power resource information comprises: the terminal computing power resource information, the terminal computing power resource use time and/or the use priority;
the predicted server computing resource information or the historical server computing resource information includes: the server computing resource information and the use time and/or the use priority of the server computing resource;
the predicted mobile network computing power resource information or the historical mobile network computing power resource information includes: mobile network computing resource information, and mobile network computing resource usage time and/or usage priority.
10. The method of claim 1 or 8, wherein the terminal computing power resource information comprises at least one of a location of the terminal, a Central Processing Unit (CPU) occupancy, a Graphics Processor (GPU) occupancy, and a memory occupancy;
the server computing resource information comprises: at least one of the supportable task connection number, CPU occupancy rate, GPU occupancy rate, memory occupancy rate, resource form and the position of the server;
the mobile network computing resource information comprises: at least one of current network hardware infrastructure resources, current network load, and resource usage rates of computing power nodes in the current network.
11. A method for management and decision-making of computing resources based on NWDAF, applied to PCF, comprising:
receiving a routing strategy suggestion sent by an NWDAF (network-wide area network) and distributed to a terminal with a computing service requirement by the NWDAF according to computing power resource information or the computing power resource information and the type and/or priority of a computing power node, 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 history information;
and updating the calculation force configuration strategy according to the routing strategy suggestion.
12. The method of claim 11, further comprising:
and sending the updated computational power configuration strategy to the AMF.
13. The method of claim 11, wherein the computational power configuration strategy comprises: at least one of location information of a target network element and a transmission path of the target network element, wherein the target network element is a computational node serving the terminal.
14. The method of claim 11, wherein the computational resource prediction information comprises: at least one of the predicted terminal computing resource information, the predicted server computing resource information and the predicted mobile network computing resource information;
the calculation resource historical information comprises: at least one item of historical terminal computing resource information, historical server computing resource information and historical mobile network computing resource information.
15. The method of claim 14, wherein the predicted terminal computing power resource information or the historical terminal computing power resource information comprises: the terminal computing resource information, and the terminal computing resource use time and/or use priority;
the predicted server computing resource information or the historical server computing resource information includes: the server computing resource information and the use time and/or the use priority of the server computing resource;
the predicted mobile network computing resource information or the historical mobile network computing resource information includes: mobile network computing resource information, and mobile network computing resource usage time and/or usage priority.
16. The method according to claim 11 or 15, wherein the terminal computing power resource information comprises at least one of a position, a CPU occupancy, a GPU occupancy, and a memory occupancy of the terminal;
the server computing resource information comprises: at least one of the supportable task connection number, CPU occupancy rate, GPU occupancy rate, memory occupancy rate, resource form and the position of the server;
the mobile network computing resource information comprises: at least one of current network hardware infrastructure resources, current network load, and resource usage rates of computing power nodes in the current network.
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| PCT/CN2023/131194 WO2024104284A1 (en) | 2022-11-16 | 2023-11-13 | Nwdaf-based management and decision-making method for computing resources |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116233871A (en) * | 2023-01-17 | 2023-06-06 | 广州爱浦路网络技术有限公司 | XR service enhancement method, computer device and storage medium |
| CN116723111A (en) * | 2023-08-09 | 2023-09-08 | 深圳十方融海科技有限公司 | Service request processing method, system and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114205850A (en) * | 2021-12-13 | 2022-03-18 | 中国电信股份有限公司 | Service processing method, base station, core network system and service processing system |
| WO2022143464A1 (en) * | 2020-12-31 | 2022-07-07 | 维沃移动通信有限公司 | Method and apparatus for determining transmission delay, and device and storage medium |
| CN114828039A (en) * | 2021-01-21 | 2022-07-29 | 维沃移动通信有限公司 | Data transmission method, terminal and network side equipment |
| CN114980034A (en) * | 2021-02-26 | 2022-08-30 | 维沃移动通信有限公司 | Method and device for realizing raw computing power service, network equipment and terminal |
| CN114980033A (en) * | 2021-02-26 | 2022-08-30 | 维沃移动通信有限公司 | Method and device for realizing raw computing power service, network equipment and terminal |
-
2022
- 2022-11-16 CN CN202211431728.0A patent/CN115499859B/en active Active
-
2023
- 2023-11-13 WO PCT/CN2023/131194 patent/WO2024104284A1/en unknown
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022143464A1 (en) * | 2020-12-31 | 2022-07-07 | 维沃移动通信有限公司 | Method and apparatus for determining transmission delay, and device and storage medium |
| CN114828039A (en) * | 2021-01-21 | 2022-07-29 | 维沃移动通信有限公司 | Data transmission method, terminal and network side equipment |
| CN114980034A (en) * | 2021-02-26 | 2022-08-30 | 维沃移动通信有限公司 | Method and device for realizing raw computing power service, network equipment and terminal |
| CN114980033A (en) * | 2021-02-26 | 2022-08-30 | 维沃移动通信有限公司 | Method and device for realizing raw computing power service, network equipment and terminal |
| CN114205850A (en) * | 2021-12-13 | 2022-03-18 | 中国电信股份有限公司 | Service processing method, base station, core network system and service processing system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116233871A (en) * | 2023-01-17 | 2023-06-06 | 广州爱浦路网络技术有限公司 | XR service enhancement method, computer device and storage medium |
| CN116233871B (en) * | 2023-01-17 | 2023-12-15 | 广州爱浦路网络技术有限公司 | XR service enhancement method, computer device and storage medium |
| CN116723111A (en) * | 2023-08-09 | 2023-09-08 | 深圳十方融海科技有限公司 | Service request processing method, system and electronic equipment |
| CN116723111B (en) * | 2023-08-09 | 2023-10-20 | 深圳十方融海科技有限公司 | Service request processing method, system and electronic equipment |
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