CN117793804A - Network slice resource scheduling method and system in 5G core network - Google Patents

Network slice resource scheduling method and system in 5G core network Download PDF

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Publication number
CN117793804A
CN117793804A CN202410200221.7A CN202410200221A CN117793804A CN 117793804 A CN117793804 A CN 117793804A CN 202410200221 A CN202410200221 A CN 202410200221A CN 117793804 A CN117793804 A CN 117793804A
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network
network function
value
function
network slice
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CN117793804B (en
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吴林艳
刘嘉珍
张利敏
李炳阳
高桥
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Beijing Zhongshu Cultural Technology Co ltd
Henan Technical College of Construction
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Beijing Zhongshu Cultural Technology Co ltd
Henan Technical College of Construction
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Abstract

The invention belongs to the field of 5G communication, in particular to a network slice resource scheduling method and a system in a 5G core network, and particularly relates to a network slice and a network slice type in the 5G core network, wherein the network slice and the network slice type in the 5G core network are obtained, a shared network function NF and the network slice type corresponding to the shared network function NF are determined according to the shared network slice, and an independent network function NF and the network slice type corresponding to the independent network function NF are determined according to the shared network slice, the independent network slice and the shared network function NF; acquiring the binding condition of each network function NF and the vCPU in the virtual environment, and the flow of each network function NF and the number of user terminals; determining a first value corresponding to the network function NF based on the network slice type corresponding to the network function NF; determining a second value corresponding to the network function NF based on the flow of the network function NF and the number of the user terminals; and adjusting the resources of the threads corresponding to the vCPU according to the first value and the second value. The invention effectively improves the resource utilization rate of the 5G core network.

Description

Network slice resource scheduling method and system in 5G core network
Technical Field
The invention relates to the field of communication, in particular to a method and a system for accessing equipment to a 5G network.
Background
In the field of rapidly evolving communication technologies, 5G network slicing plays an indispensable role. Network slicing allows operators to create multiple virtual networks on the same physical network basis, each with specific functions and features to meet the needs of different applications and services. The network slicing technology not only enables network services to be more personalized and flexible, but also greatly improves the utilization efficiency of resources. Network slicing technology makes it possible to provide customized network environments for different user groups or service types, meeting specific requirements of various applications from autopilot, industrial internet to smart cities, etc. The flexibility and efficiency of network resource allocation are greatly improved, so that each slice can obtain proper bandwidth, delay, reliability and security level according to the specific requirements. The network slicing reduces the dependence on additional hardware, reduces the maintenance cost, and brings richer service innovation opportunities for operators. More importantly, this technique significantly improves the user experience, especially in terms of ensuring performance and reliability of critical applications and services. At the same time, the isolation between different network slices ensures data security, which is critical for processing sensitive information.
Network slicing requires multiple virtual networks to be managed on the same physical network. This complexity complicates resource allocation, especially when different quality of service (QoS) requirements for multiple slices need to be met simultaneously. As network demands continue to change, dynamically managing and allocating resources to accommodate these changes is a challenge, and if resources are not allocated properly, it may result in over-allocation of resources for some slices and under-allocation of resources for other slices, resulting in wasted resources and reduced quality of service.
Disclosure of Invention
In order to improve the resource utilization rate of a core network in a 5G network, the invention provides a network slice resource scheduling method in the 5G core network, which comprises the following steps:
acquiring network slices and network slice types in a 5G core network, determining a shared network function NF and network slice types corresponding to the shared network function NF according to the shared network slices, and determining an independent network function NF and network slice types corresponding to the independent network function NF according to the shared network slices, the independent network slices and the shared network function NF;
acquiring the binding condition of each network function NF and the vCPU in the virtual environment, and the flow of each network function NF and the number of user terminals; determining a first value corresponding to the network function NF based on the network slice type corresponding to the network function NF; determining a second value corresponding to the network function NF based on the flow of the network function NF and the number of the user terminals; and adjusting the resources of the threads corresponding to the vCPU according to the first value and the second value.
Preferably, the determining the independent network function NF and the network slice type corresponding to the independent network function NF according to the shared network slice, the independent network slice and the shared network function NF specifically includes:
determining network functions NF in each shared network slice and each independent network slice, putting the network functions NF into a first set, and deleting the shared network functions NF from the first set to obtain independent network functions NF;
determining a network slice type corresponding to the independent network function NF according to the network slice where the independent network function NF is located;
the network slice type is an emmbb type, a URLLC type, or a mhlot type.
Preferably, the determining the first value corresponding to the network function NF based on the network slice type corresponding to the network function NF specifically includes:
if the network function NF is an independent network function NF, acquiring a network slice type corresponding to the network function NF, and determining a first value according to a weight corresponding to the network slice type;
if the network function NF is the shared network function NF, determining a first value according to all network slices corresponding to the network function NF, weights corresponding to the network slice types, and the number of user terminals corresponding to each network slice.
Preferably, the determining the first value according to all network slices corresponding to the network function NF, weights corresponding to the network slice types, and the number of user terminals corresponding to each network slice specifically includes:
for each of all network slices corresponding to the network function NF, establishing a triplet of weight corresponding to the network slice type and the number of user terminals corresponding to the network slice;
and calculating the duty ratio of the number of the user terminals corresponding to each network slice in the number of the user terminals corresponding to all the network slices, and obtaining a first value according to the duty ratio of all the network slices and the weight corresponding to the network slice type.
Preferably, the determining the second value corresponding to the network function NF based on the flow of the network function NF and the number of the user terminals specifically includes:
calculating the ratio of the flow of the network function NF to the preset flow to obtain a first ratio, and calculating the ratio of the number of user terminals to the number of preset user terminals to obtain a second ratio; and obtaining a second value according to the first ratio and the second ratio.
Preferably, the allocating the resources to the threads corresponding to the vCPU according to the first value and the second value specifically includes:
and obtaining a third value according to the first value and the second value of each network function NF, and distributing the priority and the time slice corresponding to the interval to the thread corresponding to the vCPU according to the interval where the third value is located.
In another aspect, the present invention provides a network slice resource scheduling system in a 5G core network, where the system includes the following modules:
the network function NF classification module is used for acquiring network slices and network slice types in the 5G core network, determining a shared network function NF and network slice types corresponding to the shared network function NF according to the shared network slices, and determining an independent network function NF and network slice types corresponding to the independent network function NF according to the shared network slices, the independent network slices and the shared network function NF;
the resource adjusting module is used for acquiring the binding condition of each network function NF and the vCPU in the virtual environment, and the flow of each network function NF and the number of user terminals; determining a first value corresponding to the network function NF based on the network slice type corresponding to the network function NF; determining a second value corresponding to the network function NF based on the flow of the network function NF and the number of the user terminals; and adjusting the resources of the threads corresponding to the vCPU according to the first value and the second value.
Preferably, the determining the independent network function NF and the network slice type corresponding to the independent network function NF according to the shared network slice, the independent network slice and the shared network function NF specifically includes:
determining network functions NF in each shared network slice and each independent network slice, putting the network functions NF into a first set, and deleting the shared network functions NF from the first set to obtain independent network functions NF;
determining a network slice type corresponding to the independent network function NF according to the network slice where the independent network function NF is located;
the network slice type is an emmbb type, a URLLC type, or a mhlot type.
Preferably, the determining the first value corresponding to the network function NF based on the network slice type corresponding to the network function NF specifically includes:
if the network function NF is an independent network function NF, acquiring a network slice type corresponding to the network function NF, and determining a first value according to a weight corresponding to the network slice type;
if the network function NF is the shared network function NF, determining a first value according to all network slices corresponding to the network function NF, weights corresponding to the network slice types, and the number of user terminals corresponding to each network slice.
Preferably, the determining the first value according to all network slices corresponding to the network function NF, weights corresponding to the network slice types, and the number of user terminals corresponding to each network slice specifically includes:
for each of all network slices corresponding to the network function NF, establishing a triplet of weight corresponding to the network slice type and the number of user terminals corresponding to the network slice;
and calculating the duty ratio of the number of the user terminals corresponding to each network slice in the number of the user terminals corresponding to all the network slices, and obtaining a first value according to the duty ratio of all the network slices and the weight corresponding to the network slice type.
Preferably, the determining the second value corresponding to the network function NF based on the flow of the network function NF and the number of the user terminals specifically includes:
calculating the ratio of the flow of the network function NF to the preset flow to obtain a first ratio, and calculating the ratio of the number of user terminals to the number of preset user terminals to obtain a second ratio; and obtaining a second value according to the first ratio and the second ratio.
Preferably, the allocating the resources to the threads corresponding to the vCPU according to the first value and the second value specifically includes:
and obtaining a third value according to the first value and the second value of each network function NF, and distributing the priority and the time slice corresponding to the interval to the thread corresponding to the vCPU according to the interval where the third value is located.
Furthermore, the invention provides a computer program product comprising a computer program which, when executed by a processor, implements a method as described above.
Finally, the invention also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as described above.
Aiming at the problem of limited resource utilization rate of a core network of a 5G network in the prior art, the invention optimizes the resource utilization condition of a network function NF in the core network by combining virtual resources and bottom resources used by the core network of the 5G network, improves the resource utilization rate and the overall response speed of the 5G network.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a first embodiment;
fig. 2 is a core network architecture diagram of a 5G network;
fig. 3 is a structural diagram of the second embodiment.
Detailed Description
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In a first embodiment, as shown in fig. 1, the present invention provides a method for scheduling network slice resources in a 5G core network, where the method includes the following steps:
s1, acquiring a network slice and a network slice type in a 5G core network, determining a shared network function NF and a network slice type corresponding to the shared network function NF according to the shared network slice, and determining an independent network function NF and a network slice type corresponding to the independent network function NF according to the shared network slice, the independent network slice and the shared network function NF;
the 5G Network includes an access Network, a core Network, etc., where the core Network is a key part of the 5G communication system, the core Network is configured as shown in fig. 2, and the core Network is responsible for processing and controlling data, where Network Slicing (Network Slicing) and core Network components are key of the core Network, where the Network Slicing partitions the 5G Network into multiple virtual, independent networks, and session establishment, network Slicing selection control, etc. are managed between the core Network components, such as AMF, SMF, etc. According to the slice type of the S-NSSAI indicated by the SST, the network slice type can be divided into an eMBB type, a URLLC type and a MIoT type, and corresponding SST values are respectively 1, 2 and 3. The Network Function (NF) is also called a Network element, and the Network element Function includes an AMF (Access and Mobility Management Function ), an SMF (Session Management Function, session management Function), an NSSF (Network Slice Selection Function ), an AUSF (Authentication Server Function, authentication service Function), and the like.
Wherein a shared network slice refers to a network slice having at least one network function NF belonging to two or more network slices, i.e. if at least one network function NF in one network slice also belongs to other network slices, this network slice is a shared network slice. Independent network slices refer to all network functions NF in a network slice belonging to only the same network slice. Shared network function NF refers to a network function NF belonging to two or more network slices at the same time; the independent network function NF refers to a network function NF belonging to only one network slice. There are various ways to determine whether the network function NF is an independent network function NF or a shared network function NF, for example, counting the network functions in each network slice, and determining whether the network function NF is an independent network function NF according to the number or unique identification code of the network function. In a more specific embodiment, the determining the independent network function NF and the network slice type corresponding to the independent network function NF according to the shared network slice, the independent network slice and the shared network function NF specifically includes:
determining network functions NF in each shared network slice and each independent network slice, putting the network functions NF into a first set, and deleting the shared network functions NF from the first set to obtain independent network functions NF;
the same element does not exist in the Set, preferably, the Set is adopted, and all network functions NF in the 5G core network can be obtained by putting the network functions NF of the shared network slice and the independent network slice into the first Set; and deleting the shared network function NF, wherein the rest network functions NF in the first set are independent network functions NF.
And determining the network slice type corresponding to the independent network function NF according to the network slice where the independent network function NF is located.
One shared network function NF belongs to a plurality of network slices at the same time, each network slice having a corresponding type, e.g. an emmbb type, a URLLC type or a MIoT type, then one shared network function NF corresponds to a plurality of network slice types. An independent network function NF belongs to only one network slice, and only one network slice type corresponds to the independent network function NF.
S2, acquiring the binding condition of each network function NF and the vCPU in the virtual environment, and the flow of each network function NF and the number of user terminals; determining a first value corresponding to the network function NF based on the network slice type corresponding to the network function NF; determining a second value corresponding to the network function NF based on the flow of the network function NF and the number of the user terminals; and adjusting the resources of the threads corresponding to the vCPU according to the first value and the second value.
An important feature in 5G networks is network function virtualization (Network Function Virtualization, NFV) which implements functions such as software and hardware decoupling and infrastructure resource sharing, on-demand scheduling. According to different application scenes and different requirements, the virtualization adopts different technologies, some virtualization is realized by adopting a virtual machine, some virtualization is realized by adopting a container, in the mode of realizing the virtualization by using the virtual machine, one or more network functions NF can be operated in each virtual machine, and the network functions NF in the same virtual machine can be the network functions NF of the same network slice or the network functions NF of different network slices. In order to achieve targeted scheduling, in the invention, a network function NF running in each virtual machine and a vCPU in the virtual machine are bound or associated in advance, and resource management is achieved through scheduling of resources of vCPU threads.
The type of network slice also varies with requirements for connection density, latency, traffic, etc., e.g., ul lc has stringent requirements for reliability and latency. In a specific embodiment, the determining, based on the network slice type corresponding to the network function NF, the first value corresponding to the network function NF specifically includes:
if the network function NF is an independent network function NF, acquiring a network slice type corresponding to the network function NF, and determining a first value according to a weight corresponding to the network slice type;
for example, a weight of 1 is set for an eMBB type network slice, a weight of 2 is set for an emtc type network slice, a weight of 3 is set for a ul lc type slice network, and a larger weight indicates a higher requirement for resources, for example, data of the ul lc type network slice is more timely processed relative to the emtc type network slice. It should be noted that the weights 1, 2, and 3 are only examples, and other weights, such as 1/3, 2/3, and 1, may be used.
If one network function NF is an independent network function NF, only one of its corresponding network slices is determined as the first value.
If the network function NF is the shared network function NF, determining a first value according to all network slices corresponding to the network function NF, weights corresponding to the network slice types, and the number of user terminals corresponding to each network slice.
If one network function NF is a shared network function NF, the network function NF belongs to different network slices, and the first value is determined according to the weight corresponding to the network slice type and the user terminal processed by each network slice, in a more specific embodiment, the first value is determined according to all network slices corresponding to the network function NF, the weight corresponding to the network slice type and the number of user terminals corresponding to each network slice, specifically:
for each of all network slices corresponding to the network function NF, establishing a triplet of weight corresponding to the network slice type and the number of user terminals corresponding to the network slice;
for example, the shared network function NF belongs to 3 network slices A, B, C at the same time, three triplets are established, which are respectively < a, eMBB, a >, < B, eMBB, B >, < C, ul lc, C >, wherein a, B, C are respectively the number of user terminals corresponding to the three network slices.
And calculating the duty ratio of the number of the user terminals corresponding to each network slice in the number of the user terminals corresponding to all the network slices, and obtaining a first value according to the duty ratio of all the network slices and the weight corresponding to the network slice type.
The ratio of the number of the user terminals corresponding to each network slice in the three network slices to the number of the user terminals corresponding to all the network slices is respectively as follows: a/(a+b+c), b/(a+b+c), c/(a+b+c), and then obtaining a first value according to all the weights corresponding to the network slice types, specifically, the first value is 1×a/(a+b+c) + 1*b/(a+b+c) + 3*c/(a+b+c).
The data traffic handled by each network function NF is different from the user terminal (UE) and the requirements on resources are different. In a specific embodiment, the determining, based on the flow of the network function NF and the number of the user terminals, the second value corresponding to the network function NF specifically includes:
calculating the ratio of the flow of the network function NF to the preset flow to obtain a first ratio, and calculating the ratio of the number of user terminals to the number of preset user terminals to obtain a second ratio; and obtaining a second value according to the first ratio and the second ratio.
In a more specific embodiment, the preset traffic is the maximum traffic corresponding to all the network functions NF, and the preset number of user terminals is the maximum number of user terminals corresponding to all the network functions NF. In one embodiment, if the shared network function NF is the shared network function NF, the corresponding traffic is the sum of all network slice traffic where the shared network function NF is located, and the corresponding number of user terminals is the sum of the number of terminals of all network slices where the shared network function NF is located.
There are various ways to obtain the second value according to the first ratio and the second ratio, for example, the sum of the first ratio and the second ratio is taken as the second value, however, it is also possible to use weighted summation as the second value, and the way to obtain the second value according to the first ratio and the second ratio is not particularly limited in the present invention.
The first value mainly represents the requirement of the network slice type where the network function NF is located on the resource, and the second value mainly represents the data volume and the requirement of the user terminal on the resource, and in one embodiment, the resource allocation is performed on the thread corresponding to the vCPU according to the first value and the second value, specifically:
and obtaining a third value according to the first value and the second value of each network function NF, and distributing the priority and the time slice corresponding to the interval to the thread corresponding to the vCPU according to the interval where the third value is located.
There are also various ways to obtain the third value according to the first value and the second value of each network function NF, and in a preferred embodiment, the first value and the second value are normalized respectively, then the sum of the normalized first value and the normalized second value is used as the third value, the interval where the third value is located is determined, and the priority and the time slice are allocated to the thread corresponding to the vCPU according to the priority and the time slice corresponding to the interval. For example, 5 priority levels are reserved for threads corresponding to the vCPU, 5 intervals are set, or the threads are divided into 5 intervals according to the minimum value and the maximum value of the third value, each interval corresponds to one priority level and one time slice, wherein the corresponding time slices are the number of time slices or the time slice length, for example, the time slice length corresponding to the first interval is m, and the time slice length corresponding to the second interval is n; or the number of time slices corresponding to the first interval is m, and the number of time slices corresponding to the second interval is n.
In another embodiment, before step S1, a data statistics process is further included, where the data statistics process is used to count the data amount passed by the 5G core network, or the data statistics process is used to count the number of user terminals disconnected and newly connected by the 5G core network, and when the counted value reaches a certain threshold, steps S1 and S2 are performed. Of course, when other conditions are satisfied, the execution of S1 and S2 may be triggered, for example, the QoS of one network slice cannot satisfy the requirement, etc.
In a second embodiment, the present invention provides a network slice resource scheduling system in a 5G core network, as shown in fig. 3, where the system includes the following modules:
the network function NF classification module is used for acquiring network slices and network slice types in the 5G core network, determining a shared network function NF and network slice types corresponding to the shared network function NF according to the shared network slices, and determining an independent network function NF and network slice types corresponding to the independent network function NF according to the shared network slices, the independent network slices and the shared network function NF;
the resource adjusting module is used for acquiring the binding condition of each network function NF and the vCPU in the virtual environment, and the flow of each network function NF and the number of user terminals; determining a first value corresponding to the network function NF based on the network slice type corresponding to the network function NF; determining a second value corresponding to the network function NF based on the flow of the network function NF and the number of the user terminals; and adjusting the resources of the threads corresponding to the vCPU according to the first value and the second value.
Preferably, the determining the independent network function NF and the network slice type corresponding to the independent network function NF according to the shared network slice, the independent network slice and the shared network function NF specifically includes:
determining network functions NF in each shared network slice and each independent network slice, putting the network functions NF into a first set, and deleting the shared network functions NF from the first set to obtain independent network functions NF;
determining a network slice type corresponding to the independent network function NF according to the network slice where the independent network function NF is located;
the network slice type is an emmbb type, a URLLC type, or a mhlot type.
Preferably, the determining the first value corresponding to the network function NF based on the network slice type corresponding to the network function NF specifically includes:
if the network function NF is an independent network function NF, acquiring a network slice type corresponding to the network function NF, and determining a first value according to a weight corresponding to the network slice type;
if the network function NF is the shared network function NF, determining a first value according to all network slices corresponding to the network function NF, weights corresponding to the network slice types, and the number of user terminals corresponding to each network slice.
Preferably, the determining the first value according to all network slices corresponding to the network function NF, weights corresponding to the network slice types, and the number of user terminals corresponding to each network slice specifically includes:
for each of all network slices corresponding to the network function NF, establishing a triplet of weight corresponding to the network slice type and the number of user terminals corresponding to the network slice;
and calculating the duty ratio of the number of the user terminals corresponding to each network slice in the number of the user terminals corresponding to all the network slices, and obtaining a first value according to the duty ratio of all the network slices and the weight corresponding to the network slice type.
Preferably, the determining the second value corresponding to the network function NF based on the flow of the network function NF and the number of the user terminals specifically includes:
calculating the ratio of the flow of the network function NF to the preset flow to obtain a first ratio, and calculating the ratio of the number of user terminals to the number of preset user terminals to obtain a second ratio; and obtaining a second value according to the first ratio and the second ratio.
Preferably, the allocating the resources to the threads corresponding to the vCPU according to the first value and the second value specifically includes:
and obtaining a third value according to the first value and the second value of each network function NF, and distributing the priority and the time slice corresponding to the interval to the thread corresponding to the vCPU according to the interval where the third value is located.
In a third embodiment, the present invention also provides a computer program product comprising a computer program which, when executed by a processor, implements the method according to the first embodiment.
In a fourth embodiment, the present invention further provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the method according to the first embodiment.
In a fifth embodiment, the present invention further provides a computing device, where the computing device includes a memory and a processor, and the memory stores a computer program, where the computer program implements the method according to the first embodiment when executed by the processor.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by adding necessary general purpose hardware platforms, or may be implemented by a combination of hardware and software. Based on such understanding, the foregoing aspects, in essence and portions contributing to the art, may be embodied in the form of a computer program product, which 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, etc.) having computer-usable program code embodied therein.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, but not limiting the same, and other embodiments may be adopted; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A method for scheduling network slice resources in a 5G core network, the method comprising the steps of:
acquiring network slices and network slice types in a 5G core network, determining a shared network function NF and network slice types corresponding to the shared network function NF according to the shared network slices, and determining an independent network function NF and network slice types corresponding to the independent network function NF according to the shared network slices, the independent network slices and the shared network function NF;
acquiring the binding condition of each network function NF and the vCPU in the virtual environment, and the flow of each network function NF and the number of user terminals; determining a first value corresponding to the network function NF based on the network slice type corresponding to the network function NF; determining a second value corresponding to the network function NF based on the flow of the network function NF and the number of the user terminals; and adjusting the resources of the threads corresponding to the vCPU according to the first value and the second value.
2. The method according to claim 1, wherein the determining the independent network function NF and the network slice type corresponding to the independent network function NF according to the shared network slice, the independent network slice and the shared network function NF is specifically:
determining network functions NF in each shared network slice and each independent network slice, putting the network functions NF into a first set, and deleting the shared network functions NF from the first set to obtain independent network functions NF;
determining a network slice type corresponding to the independent network function NF according to the network slice where the independent network function NF is located;
the network slice type is an emmbb type, a URLLC type, or a mhlot type.
3. The method according to claim 1, wherein the determining the first value corresponding to the network function NF based on the network slice type corresponding to the network function NF is specifically:
if the network function NF is an independent network function NF, acquiring a network slice type corresponding to the network function NF, and determining a first value according to a weight corresponding to the network slice type;
if the network function NF is the shared network function NF, determining a first value according to all network slices corresponding to the network function NF, weights corresponding to the network slice types, and the number of user terminals corresponding to each network slice.
4. A method according to claim 3, wherein the determining the first value according to all network slices corresponding to the network function NF, weights corresponding to the network slice types, and the number of user terminals corresponding to each network slice is specifically:
for each of all network slices corresponding to the network function NF, establishing a triplet of weight corresponding to the network slice type and the number of user terminals corresponding to the network slice;
and calculating the duty ratio of the number of the user terminals corresponding to each network slice in the number of the user terminals corresponding to all the network slices, and obtaining a first value according to the duty ratio of all the network slices and the weight corresponding to the network slice type.
5. The method of claim 1, wherein the determining the second value corresponding to the network function NF based on the flow of the network function NF and the number of the user terminals is specifically:
calculating the ratio of the flow of the network function NF to the preset flow to obtain a first ratio, and calculating the ratio of the number of user terminals to the number of preset user terminals to obtain a second ratio; and obtaining a second value according to the first ratio and the second ratio.
6. The method of claim 1, wherein the allocating resources to the thread corresponding to the vCPU according to the first value and the second value is specifically:
and obtaining a third value according to the first value and the second value of each network function NF, and distributing the priority and the time slice corresponding to the interval to the thread corresponding to the vCPU according to the interval where the third value is located.
7. A network slice resource scheduling system in a 5G core network, the system comprising:
the network function NF classification module is used for acquiring network slices and network slice types in the 5G core network, determining a shared network function NF and network slice types corresponding to the shared network function NF according to the shared network slices, and determining an independent network function NF and network slice types corresponding to the independent network function NF according to the shared network slices, the independent network slices and the shared network function NF;
the resource adjusting module is used for acquiring the binding condition of each network function NF and the vCPU in the virtual environment, and the flow of each network function NF and the number of user terminals; determining a first value corresponding to the network function NF based on the network slice type corresponding to the network function NF; determining a second value corresponding to the network function NF based on the flow of the network function NF and the number of the user terminals; and adjusting the resources of the threads corresponding to the vCPU according to the first value and the second value.
8. The system according to claim 7, wherein the determining the independent network function NF and the network slice type corresponding to the independent network function NF according to the shared network slice, the independent network slice and the shared network function NF is specifically:
determining network functions NF in each shared network slice and each independent network slice, putting the network functions NF into a first set, and deleting the shared network functions NF from the first set to obtain independent network functions NF;
determining a network slice type corresponding to the independent network function NF according to the network slice where the independent network function NF is located;
the network slice type is an emmbb type, a URLLC type, or a mhlot type.
9. The system according to claim 7, wherein the allocating resources to the thread corresponding to the vCPU according to the first value and the second value is specifically:
and obtaining a third value according to the first value and the second value of each network function NF, and distributing the priority and the time slice corresponding to the interval to the thread corresponding to the vCPU according to the interval where the third value is located.
10. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any of claims 1-6.
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