CN113453285B - Resource adjusting method, device and storage medium - Google Patents

Resource adjusting method, device and storage medium Download PDF

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CN113453285B
CN113453285B CN202110699911.8A CN202110699911A CN113453285B CN 113453285 B CN113453285 B CN 113453285B CN 202110699911 A CN202110699911 A CN 202110699911A CN 113453285 B CN113453285 B CN 113453285B
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user
slice
resource
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CN113453285A (en
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王蕴实
赵晨斌
张曼君
徐雷
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China United Network Communications Group Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
    • H04W28/24—Negotiating SLA [Service Level Agreement]; Negotiating QoS [Quality of Service]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/56—Allocation or scheduling criteria for wireless resources based on priority criteria

Abstract

The application discloses a resource adjusting method, a device and a storage medium, which relate to the field of communication and can reasonably distribute network slice wireless resources based on service types, and the method comprises the following steps: and acquiring a network slice service characteristic value of the network slice of the target type at the first moment, a user service characteristic value of each user corresponding to the network slice of the target type, and a service guarantee level agreement (SLA) level of each user. And determining resource users to be adjusted according to the user service characteristic value of each user and the SLA level of each user. And determining the resource adjustment priority of each resource user to be adjusted according to the network slice service characteristic value and the user service characteristic value of the resource user to be adjusted. And according to the resource users to be adjusted and the resource adjustment priority of the resource users to be adjusted, performing resource adjustment on the resource users to be adjusted.

Description

Resource adjusting method, device and storage medium
Technical Field
The present application relates to the field of communications, and in particular, to a resource adjustment method, apparatus, and storage medium.
Background
The principle of network slicing is that a physical network is sliced into a plurality of virtual networks, and each virtual network is divided according to different service requirements such as time delay, bandwidth, safety, reliability and the like, so that the differentiation requirements of different services are met respectively. As the number of network slices increases, difficulty in dynamic management and resource sharing between different network slices increases, and a great challenge is brought to management and maintenance of network slices.
Resource isolation is an important feature of network slices that can be used to prevent one slice from failing or being congested without affecting the operation of another network slice. At present, the wireless resources can realize the complete isolation of the network slice in a resource exclusive mode. However, considering the current situation of shortage of radio resources, the above method reduces the utilization rate of radio resources, and is not favorable for reasonable allocation of radio resources.
Disclosure of Invention
The application provides a resource adjustment method, a resource adjustment device and a storage medium, which can reasonably allocate network slice wireless resources based on service types.
In order to achieve the above purpose, the embodiment of the present application adopts the following technical solutions:
in a first aspect, the present application provides a resource adjustment method, including: and acquiring the service characteristic values of the network slices of different types, the user service characteristic value of each user in the network slices and the service guarantee level agreement SLA level of each user at the first moment. And then, determining the users to be adjusted in resources according to the user service characteristic value and the SLA level of each user. Therefore, after the resource adjustment priority of each user in the users to be adjusted is determined according to the network slice service characteristic value and the user service characteristic value, the resources of the users to be adjusted are adjusted.
Based on the technical scheme, the service characteristic values of different types of network slices at the current moment and the service characteristic value of each user are respectively counted in real time. And then determining which users cannot meet SLA signing requirements due to insufficient resource supply, and generating corresponding resources to be adjusted. And then, combining a specific formula, and calculating the priority of each user according to the network slice and the service characteristic value of the user. And finally, the slice resource adjusting module performs resource allocation on the users according to the users to be adjusted in resources and the resource adjusting priority of each user in the users to be adjusted in resources. Therefore, reasonable distribution of network slice wireless resources based on the service types is realized, different types of network slices share the wireless resources in a dynamic scheduling mode, and optimization of resource utilization is realized.
In one possible design, the network slice of the target type includes one or more of: the method comprises the steps of enhancing a mobile broadband emBB service slice, a high-reliability low-delay communication uRLlc service slice and a mass machine type communication mMTC service slice. If the target type network slice comprises the emBB service slice, the network slice service characteristic value comprises a service rate maximum value and a service rate minimum value of the emBB service slice at the first moment. If the target type of network slice comprises the uRLLc service slice, the service characteristic value of the network slice comprises the maximum service delay value and the minimum service delay value of the uRLLc service slice at the first moment. If the target type network slice comprises the mMTC service slice, the network slice service characteristic value comprises a maximum service packet loss rate value and a minimum service packet loss rate value of the mMTC service slice at the first moment.
In one possible design, the user service characteristic value includes: the instantaneous rate, the service delay and the packet loss rate of each user service at the first moment and the average transmission rate of each user service at the second moment and the third moment; the second time and the third time are two continuous times before the first time.
In a possible design, the determining the user of the resource to be adjusted according to the user service characteristic value and the SLA level of each user specifically includes: and acquiring an SLA parameter threshold according to the SLA level of each user. Performing a first operation on each user to determine at least one resource user to be adjusted; wherein the first operation is: and if the user service characteristic value is larger than the SLA parameter threshold value, determining the user corresponding to the user service characteristic value as the resource user to be adjusted.
In a possible design, the determining the resource adjustment priority of each user according to the network slice service characteristic value and the user service characteristic value specifically includes:
if the network slice is an emBB service slice, determining that the resource adjustment priority of each user meets the following formula according to the service characteristic value of the network slice and the service characteristic value of the user:
Figure BDA0003129815990000021
wherein, P emBB.k(t) Used for expressing the resource adjustment priority of a user k in the emBB service slice, t is used for expressing the first time, R k(t) Representing the instantaneous rate of user k at a first time instant,
Figure BDA0003129815990000022
for indicating the average transmission rate, R, of user k at the second and third time instants max For representing the maximum value of the service rate of the emBB service slice at the first moment, R min Is used for expressing the minimum value of the service rate of the emBB service slice at the first moment, P SLA.k(t) For representing the SLA level of user k;
if the network slice is a uRLLc service slice, determining that the resource adjustment priority of each user meets the following formula according to the service characteristic value of the network slice and the service characteristic value of the user:
Figure BDA0003129815990000023
wherein, P uRLLc.k(t) For indicating the resource adjustment priority of user k in the uRLLc service slice, and t for indicating the first time, R k(t) Representing the instantaneous rate of user k at a first time instant,
Figure BDA0003129815990000031
for indicating the average transmission rate, U, of user k at the second and third time instants max For representing the maximum value of the service delay, U, of the uRLlc service slice at a first moment min For indicating the minimum value of the service delay of the uRLlc service slice at the first moment, U k(t) For indicating the traffic delay, P, of user k at a first instant SLA.k(t) For representing the SLA level of user k;
if the network slice is an mMTC service slice, determining that the resource adjustment priority of each user meets the following formula according to the service characteristic value of the network slice and the service characteristic value of the user:
Figure BDA0003129815990000032
wherein, P mMTC.k(t) For indicating the resource adjustment priority of user k within a urlcc traffic slice, t for indicating the first moment,R k(t) representing the instantaneous rate of user k at a first time instant,
Figure BDA0003129815990000033
for indicating the average transmission rate, M, of user k at the second and third time instants max Is used for expressing the maximum value of the service packet loss rate, M, of the mMTC service slice at the first moment min Is used for expressing the minimum value of the service packet loss rate, M, of the mMTC service slice at the first moment k(t) For indicating the packet loss rate, P, of user k at a first time SLA.k(t) Representing the SLA level for user k.
In a second aspect, the present application provides a resource adjusting apparatus, which includes an obtaining unit and a processing unit. The acquiring unit is used for acquiring the network slice service characteristic value of the network slice of the target type at the first moment, the user service characteristic value of each user corresponding to the network slice of the target type, and the service guarantee level agreement SLA level of each user. And the processing unit is used for determining resource users to be adjusted according to the user service characteristic value of each user and the SLA level of each user. And the processing unit is also used for determining the resource adjustment priority of each resource user to be adjusted according to the network slice service characteristic value and the user service characteristic value of the resource user to be adjusted. And the processing unit is also used for carrying out resource adjustment on the resource users to be adjusted according to the resource users to be adjusted and the resource adjustment priority of the resource users to be adjusted.
In one possible design, the network slice of the target type includes one or more of: the method comprises the steps of enhancing a mobile broadband emBB service slice, a high-reliability low-delay communication uRLlc service slice and a mass machine type communication mMTC service slice. If the target type network slice comprises the emBB service slice, the network slice service characteristic value comprises a service rate maximum value and a service rate minimum value of the emBB service slice at the first moment. If the target type of network slice comprises the uRLLc service slice, the network slice service characteristic value comprises the maximum service delay value and the minimum service delay value of the uRLLc service slice at the first moment. If the target type network slice comprises the mMTC service slice, the network slice service characteristic value comprises a maximum service packet loss rate value and a minimum service packet loss rate value of the mMTC service slice at the first moment.
In one possible design, the user service characteristic value includes: the instantaneous rate, the service delay and the packet loss rate of each user service at the first moment and the average transmission rate of each user service at the second moment and the third moment; the second time and the third time are two continuous times before the first time.
In a possible design, the retrieving unit is further configured to retrieve the SLA parameter threshold according to an SLA level of each user. The processing unit is further used for executing a first operation on each user so as to determine at least one resource user to be adjusted; wherein the first operation is: and if the user service characteristic value is larger than the SLA parameter threshold value, determining the user corresponding to the user service characteristic value as the resource user to be adjusted.
In a possible design, when the network slice is an emBB service slice, the processing unit determines, according to the service characteristic value of the network slice and the service characteristic value of the user, that the resource adjustment priority of each user satisfies the following formula:
Figure BDA0003129815990000041
wherein, P emBB.k(t) Used for representing the resource adjustment priority of a user k in the emBB service slice, t is used for representing a first time, R k(t) Representing the instantaneous rate of user k at a first instant,
Figure BDA0003129815990000042
for indicating the average transmission rate, R, of user k at the second and third time instants max For representing the maximum value of the traffic rate, R, of an emBB traffic slice at a first time min For indicating the minimum value of the traffic rate of the emBB traffic slice at the first time, P SLA.k(t) For representing the SLA level of user k;
when the network slice is a uRLlc service slice, the processing unit determines that the resource adjustment priority of each user meets the following formula according to the service characteristic value of the network slice and the service characteristic value of the user:
Figure BDA0003129815990000043
wherein, P uRLLc.k(t) For indicating the resource adjustment priority of user k in the uRLLc service slice, and t for indicating the first time, R k(t) Representing the instantaneous rate of user k at a first instant,
Figure BDA0003129815990000044
for representing the average transmission rate, U, of user k at the second and third time instants max For representing the maximum value of the service delay, U, of the uRLlc service slice at a first moment min For indicating the minimum value of the service delay of the uRLlc service slice at the first moment, U k(t) For indicating the traffic delay, P, of user k at a first instant SLA.k(t) For representing the SLA level of user k;
when the network slice is an mMTC service slice, the processing unit determines that the resource adjustment priority of each user meets the following formula according to the service characteristic value of the network slice and the service characteristic value of the user:
Figure BDA0003129815990000045
wherein, P mMTC.k(t) For indicating the resource adjustment priority of user k in the uRLLc service slice, and t for indicating the first time, R k(t) Representing the instantaneous rate of user k at a first instant,
Figure BDA0003129815990000046
for indicating the average transmission rate, M, of user k at the second and third time instants max Is used for expressing the maximum value of the service packet loss rate, M, of the mMTC service slice at the first moment min Is used for expressing the minimum value of the service packet loss rate, M, of the mMTC service slice at the first moment k(t) For indicating the packet loss rate, P, of user k at a first time SLA.k(t) Representing the SLA level for user k.
Optionally, the resource adjusting apparatus according to the second aspect may further include a storage module, where the storage module stores a program or instructions. When the processing module executes the program or the instructions, the resource adjusting apparatus may be enabled to execute the resource adjusting method according to the above method embodiment.
In addition, for technical effects of the resource adjustment apparatus according to the second aspect, reference may be made to the technical effects of the resource adjustment method according to the first aspect, and details are not repeated here.
In a third aspect, the present application provides a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a network device of the present application, cause a computer to perform a resource adjustment method as described in the first aspect and any one of the possible implementations of the first aspect.
In a fourth aspect, the present application provides a network device, comprising: a processor and a memory; wherein the memory is used for storing one or more programs, the one or more programs comprising computer executable instructions, and the processor executes the computer executable instructions stored by the memory when the network device is running, so as to cause the network device to perform the resource adjustment method as described in the first aspect and any possible implementation manner of the first aspect.
In a fifth aspect, the present application provides a computer program product containing instructions that, when run on a computer, cause a network device of the present application to perform the resource adjustment method as described in the first aspect and any one of the possible implementations of the first aspect.
In a sixth aspect, the present application provides a chip comprising a processor and a communication interface, the communication interface being coupled to the processor, the processor being configured to execute a computer program or instructions to implement the resource adjustment method as described in the first aspect and any possible implementation manner of the first aspect.
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Fig. 1 is a schematic diagram illustrating an architecture of a resource adjusting apparatus according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a resource adjustment method according to an embodiment of the present application;
fig. 3 is a schematic diagram illustrating an architecture of a resource adjusting apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of another resource adjustment apparatus according to 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 only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
The character "/" herein generally indicates that the former and latter associated objects are in an "or" relationship. For example, A/B may be understood as either A or B.
The terms "first" and "second" in the description and claims of the present application are used for distinguishing between different objects and not for describing a particular order of the objects. For example, the first edge service node and the second edge service node are used for distinguishing different edge service nodes, and are not used for describing the characteristic sequence of the edge service nodes.
Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In addition, in the embodiments of the present application, words such as "exemplary" or "for example" are used to mean serving as examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "e.g.," is intended to present concepts in a concrete fashion.
In order to facilitate understanding of the technical solutions of the present application, some technical terms related to the present application are described below.
1. Network slicing
The principle of network slicing is that a physical network is sliced into a plurality of virtual networks, and each virtual network is divided according to different service requirements such as time delay, bandwidth, safety, reliability and the like, so that the differentiation requirements of different services are met respectively.
The network slices are logically independent, and the failure of any one network slice does not affect other network slices. Each network slice has different functional characteristics and is oriented to different requirements and services.
There are various types of network slices, and in a 5G network, the types of network slices generally include: enhanced Mobile Broadband (emBB) traffic slice, high-reliability and Low Latency Communications (urrllc) traffic slice, and mass Machine Type Communications (mtc) traffic slice. In the embodiments of the following text application, these three types of network slices are taken as examples for explanation.
The eMB service is a large-flow mobile broadband service for further improving the performance of user experience and the like on the basis of the existing mobile broadband service scene. Accordingly, for the eMMB Service slice, the influence of the Service rate on the Quality of Service (Qos) is large.
The urrllc service is a service requiring low delay, and is typically applied to unmanned and industrial automation technologies. Correspondingly, for the urrllc service slice, the service Qos is greatly affected by the service delay.
The mMTC service refers to a large-scale Internet of things service, and is connected with massive machines for communication. Correspondingly, for the mtc service slice, the service packet loss rate has a large influence on the service Qos.
2. Service assurance level agreement level
The Service Level Agreement (SLA) Level is a formal Agreement negotiated and signed by both parties of an Agreement, and is sometimes called Service Level assurance. It is a contract between service providers and users that has agreed on quality of service, priority, and liability.
For example, in the embodiment of the present application, the SLA level of the user is specifically characterized by SLA parameters, which may embody various requirements of the user on wireless resources, such as service rate, delay, and packet loss rate, which are set by the operator when signing up.
The resource adjustment method and the resource adjustment device provided by the embodiment of the application can be applied to an operator to allocate wireless resources for network slices. In a specific application scenario, the resource adjusting device acquires network slices of various types and characteristic data of users thereof at the current moment in real time, and determines the users needing resource adjustment and the priority thereof according to SLA signing requirements of the users, thereby realizing reasonable distribution of network slice wireless resources based on service types.
The following describes a method and an apparatus provided in the embodiments of the present application in detail.
Illustratively, as shown in fig. 1, the resource adjustment apparatus provided in the embodiment of the present application includes a business feature analysis module, an SLA evaluation module, and a slice resource adjustment module. The service characteristic analysis module is used for analyzing service characteristics in the network slices and service characteristics of users, periodically counting and updating the service characteristic values of the network slices of various types and the service characteristic value of each user.
The SLA evaluation module stores the SLA level of the user and characterizes the SLA level of the user using SLA parameters. The SLA evaluation module can acquire the updated real-time user service characteristic value from the service characteristic analysis module, determine a user list needing resource adjustment by combining SLA parameters, and send the user list to the slice resource adjustment module.
The slice resource adjusting module obtains the network slice service characteristic value and the user service characteristic value from the service characteristic analyzing module according to the received user list needing resource adjustment, and calculates the resource adjusting priority of each resource user to be adjusted according to the network slice service characteristic value and the user service characteristic value. And then, the slice resource adjusting module performs wireless resource allocation adjustment on each resource user to be adjusted according to the resource adjusting priority.
In different application scenarios, the service feature analysis module, the SLA evaluation module, and the slice resource adjustment module may be deployed in different devices included in the resource adjustment apparatus, or may be integrated in the same device included in the resource adjustment apparatus, which is not specifically limited in this application.
When the service characteristic analysis module, the SLA evaluation module and the slice resource adjustment module are integrated in the same equipment in the resource adjustment device, the communication mode among the service characteristic analysis module, the SLA evaluation module and the slice resource adjustment module is the communication among the internal modules of the equipment. In this case, the communication flow among the three is the same as the communication flow among the three under the condition that the service characteristic analysis module, the SLA evaluation module and the slice resource adjustment module are independent from each other.
The technical solution provided by the present application is specifically explained below with reference to the drawings of the specification.
It should be noted that, in the embodiments provided in the present application, radio resource adjustment can be performed based on different types of network slices, and the embodiments are not limited to the embb service slice, the urrllc service slice, and the mtc service slice, and the following embodiments only take three types of network slices, including the embb service slice, the urrllc service slice, and the mtc service slice, as examples for description.
Exemplarily, as shown in fig. 2, a schematic flow chart of a resource adjustment method provided in an embodiment of the present application is shown, where the method includes the following steps:
s201, the resource adjusting device obtains a network slice service characteristic value of a network slice of a first time target type.
The first time may be any time or a certain time set manually.
Optionally, the target type network slice includes an eMMB service slice, a urlcc service slice, and an mtc service slice. If the target type network slice comprises the emBB service slice, the network slice service characteristic value comprises a service rate maximum value and a service rate minimum value of the emBB service slice at the first moment.
If the target type of network slice comprises the uRLLc service slice, the network slice service characteristic value comprises the maximum service delay value and the minimum service delay value of the uRLLc service slice at the first moment.
If the target type network slice comprises the mMTC service slice, the network slice service characteristic value comprises a maximum service packet loss rate value and a minimum service packet loss rate value of the mMTC service slice at the first moment.
It can be understood that, for different types of network slices, the obtained service feature values are different because the factors affecting the Qos of the different types of network slices are also different, which is specifically described above for the network slice terminology, and thus, no further description is given here.
In a possible implementation manner, S201 may be specifically executed by a service feature analysis module included in the resource adjustment device, so as to obtain a network slice service feature value of a network slice of the target type at the first time and send the network slice service feature value to the slice resource adjustment module.
S202, the resource adjusting device obtains a user service characteristic value of each user corresponding to the network slice of the target type at the first moment.
Optionally, the user service characteristic value of each user includes: the instantaneous rate, the service delay and the packet loss rate of each user service at the first moment and the average transmission rate of each user service at the second moment and the third moment.
The second time and the third time are two consecutive times before the first time. The resource adjusting device obtains the average transmission rate finally by obtaining the instantaneous rates of two continuous moments before the current first moment and averaging the instantaneous rates so as to be used for calculating the user resource adjusting priority in the subsequent steps.
In a possible implementation manner, S202 may be specifically executed by a service feature analysis module included in the resource adjustment apparatus, so as to obtain a user service feature value of each user corresponding to the network slice of the first time target type and send the user service feature value to the SLA evaluation module and the slice resource adjustment module.
S203, the resource adjusting device acquires the SLA level of each user corresponding to the network slice of the target type at the first moment.
The SLA level of each user is determined when the user signs a service agreement with an operator, and the resource adjusting device adopts SLA parameters to characterize the SLA level. Illustratively, the SLA parameter may be S i (S 1 、S 2 、S 3 ……S n ) Denotes S i The different values included represent network resource information that meets the slice SLA requirements, such as end-to-end delay, bandwidth, maximum number of concurrent connections (maximum number of users that can be accessed simultaneously), and the like, of data packets in a 5G network.
In a possible implementation manner, S203 may be specifically executed by an SLA evaluation module included in the resource adjusting apparatus, so as to obtain an SLA level of each user corresponding to the network slice of the target type at the first time.
S204, the resource adjusting device determines the resource users to be adjusted according to the user service characteristic value of each user and the SLA level of each user.
Optionally, the resource adjusting apparatus calculates the SLA parameter threshold according to the SLA parameter representing the SLA level, in combination with a preset percentage threshold. Specifically, the resource adjusting apparatus determines the product of the SLA parameter and a preset percentage threshold value as the SLA parameter threshold value.
In a possible implementation manner, the resource adjusting apparatus performs a first operation on each user to determine at least one resource user to be adjusted. Wherein the first operation is: and if the user service characteristic value of one user is larger than the SLA parameter threshold value of the user, determining the user as a resource user to be adjusted.
It should be noted that the purpose of setting the preset percentage threshold here is to enable the resource adjusting device to obtain a situation before the network resource of the user does not meet the SLA level requirement, determine the user as a resource user to be adjusted, and adjust the radio resource allocated to the user in time, so as to avoid negative influence on the service experience of the user. For example, the preset percentage threshold set here may be 95%, and may be specifically set according to different application scenarios, which is not limited in this embodiment of the application.
In a possible implementation manner, S204 may be specifically executed by an SLA evaluation module included in the resource adjusting apparatus, so as to determine resource users to be adjusted.
S205, the resource adjusting device determines the resource adjusting priority of each resource user to be adjusted according to the network slice service characteristic value and the user service characteristic value of the resource user to be adjusted.
Optionally, the types of the network slices are different, and the manner of determining the resource adjustment priority of each resource user to be adjusted is also different. For example, taking three different types of network slices including an eMMB service slice, a urlcc service slice, and an mtc service slice as an example, the following descriptions are specifically made:
(1) If the network slice is an embB service slice, determining that the resource adjustment priority of each user meets the following formula according to the service characteristic value of the network slice and the service characteristic value of the user:
Figure BDA0003129815990000101
wherein, P emBB.k(t) Used for expressing the resource adjustment priority of a user k in the emBB service slice, t is used for expressing the first time, R k(t) Representing the instantaneous rate of user k at a first time instant,
Figure BDA0003129815990000102
for indicating that user k is at a second time andaverage transmission rate, R, at the third moment max For representing the maximum value of the traffic rate, R, of an emBB traffic slice at a first time min For indicating the minimum value of the traffic rate of the emBB traffic slice at the first time, P SLA.k(t) Representing the SLA level for user k.
(2) If the network slice is a uRLLc service slice, determining that the resource adjustment priority of each user meets the following formula according to the service characteristic value of the network slice and the service characteristic value of the user:
Figure BDA0003129815990000103
wherein, P uRLLc.k(t) For indicating the resource adjustment priority of user k in the uRLLc service slice, and t for indicating the first time, R k(t) Representing the instantaneous rate of user k at a first time instant,
Figure BDA0003129815990000104
for indicating the average transmission rate, U, of user k at the second and third time instants max For representing the maximum value of the service delay, U, of the uRLlc service slice at a first moment min For indicating the minimum value of the service delay of the uRLlc service slice at the first moment, U k(t) For indicating the traffic delay, P, of user k at a first instant SLA.k(t) Representing the SLA level for user k.
(3) If the network slice is an mMTC service slice, determining that the resource adjustment priority of each user meets the following formula according to the service characteristic value of the network slice and the service characteristic value of the user:
Figure BDA0003129815990000111
wherein, P mMTC.k(t) For indicating the resource adjustment priority of user k in the uRLLc service slice, and t for indicating the first time, R k(t) Representing the instantaneous rate of user k at a first time instant,
Figure BDA0003129815990000112
for indicating the average transmission rate, M, of user k at the second and third time instants max Is used for expressing the maximum value of the service packet loss rate, M, of the mMTC service slice at the first moment min Is used for expressing the minimum value of the service packet loss rate, M, of the mMTC service slice at the first moment k(t) For indicating the packet loss rate, P, of user k at a first time SLA.k(t) Representing the SLA level for user k.
In a possible implementation manner, S205 may be specifically executed by a slice resource adjusting module included in the resource adjusting apparatus, so as to determine the resource adjustment priority of each resource user to be adjusted according to the network slice service characteristic value and the user service characteristic value of the resource user to be adjusted.
S206, the resource adjusting device adjusts the resources of the resource users to be adjusted according to the resource users to be adjusted and the resource adjusting priority of the resource users to be adjusted.
Optionally, the resource adjusting apparatus performs resource adjustment on the resource users to be adjusted according to the order of the resource adjustment priorities from high to low, so as to meet the service requirements of users corresponding to different types of network slices.
In a possible implementation manner, S206 may be specifically executed by a slice resource adjusting module included in the resource adjusting apparatus, so as to perform resource adjustment on the resource users to be adjusted according to the resource users to be adjusted and the resource adjustment priority of the resource users to be adjusted.
Based on the technical scheme, the service characteristic values of different types of network slices at the current moment and the service characteristic value of each user are respectively counted in real time in the embodiment of the application. And then determining which users cannot meet the SLA signing requirements due to insufficient resource supply, and generating corresponding resources to-be-adjusted users. And then, combining a specific formula, and calculating the priority of each user according to the network slice and the service characteristic value of the user. And finally, the slice resource adjusting module performs resource allocation on the users according to the users to be adjusted in resources and the resource adjusting priority of each user in the users to be adjusted in resources. Therefore, the reasonable distribution of the wireless resources of the network slices based on the service types is realized, the wireless resources are shared by the network slices of different types in a dynamic scheduling mode, and the optimization of the resource utilization is realized.
In the embodiment of the present application, the resource adjusting apparatus may be divided into the functional modules or the functional units according to the above method examples, for example, each functional module or functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module may be implemented in the form of hardware, or may also be implemented in the form of a software functional module or functional unit. The division of the modules or units in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 3 is a schematic diagram illustrating a possible structure of a resource adjustment apparatus according to an embodiment of the present disclosure. The resource adjusting apparatus 300 includes: an acquisition unit 301 and a processing unit 302.
The obtaining unit 301 is configured to obtain a network slice service characteristic value of a network slice of a target type at a first time, a user service characteristic value of each user corresponding to the network slice of the target type, and a service guarantee level agreement SLA level of each user. For example, in conjunction with fig. 2, the obtaining unit 301 is specifically configured to perform steps S201-S203.
A processing unit 302, configured to determine resource users to be adjusted according to the user service characteristic value of each user and the SLA level of each user. For example, in conjunction with fig. 2, the processing unit 302 is specifically configured to execute step S204.
The processing unit 302 is further configured to determine a resource adjustment priority of each resource user to be adjusted according to the network slice service characteristic value and the user service characteristic value of the resource user to be adjusted. For example, in conjunction with fig. 2, the processing unit 302 is specifically configured to execute step S205.
The processing unit 302 is further configured to perform resource adjustment on the resource user to be adjusted according to the resource user to be adjusted and the resource adjustment priority of the resource user to be adjusted. For example, in conjunction with fig. 2, the processing unit 302 is specifically configured to execute step S206.
Optionally, the obtaining unit 301 is further configured to obtain an SLA parameter threshold according to an SLA level of each user. For example, referring to fig. 2, the obtaining unit 301 is specifically configured to execute step S204.
Optionally, the processing unit 302 is further configured to perform a first operation on each user to determine at least one resource user to be adjusted. For example, in conjunction with fig. 2, the processing unit 302 is specifically configured to execute step S204.
Optionally, the resource adjusting apparatus 300 may further include a storage unit (shown by a dashed box in fig. 3), which stores programs or instructions. When the processing unit 302 executes the program or the instructions, the resource adjusting apparatus is enabled to execute the resource adjusting method described in the above method embodiments.
In addition, for technical effects of the resource adjustment apparatus described in fig. 3, reference may be made to technical effects of the resource adjustment method described in the foregoing embodiments, and details are not repeated here.
Fig. 4 is a schematic structural diagram of another possible resource adjusting apparatus according to the foregoing embodiment. As shown in fig. 4, the resource adjusting apparatus 400 includes: a processor 402.
The processor 402 is configured to control and manage the actions of the resource adjusting apparatus, for example, execute the steps executed by the obtaining unit 301 and the processing module 302, and/or execute other processes of the technical solutions described herein.
The processor 402 may be any means that can implement or execute the various illustrative logical blocks, modules, and circuits described in connection with the present application. The processor may be a central processing unit, general purpose processor, digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors, among others.
Optionally, the resource adjusting apparatus 400 may further include a communication interface 403, a memory 401, and a bus 404. Wherein the communication interface 403 is used for supporting the communication of the resource adjusting apparatus 400 with other network entities. The memory 401 is used for storing the program codes and data of the resource adjusting apparatus.
The memory 401 may be a memory in the resource adjusting apparatus, and the memory may include a volatile memory, such as a random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory may also comprise a combination of memories of the kind described above.
The bus 404 may be an Extended Industry Standard Architecture (EISA) bus or the like. The bus 404 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 4, but that does not indicate only one bus or one type of bus.
In actual implementation, the obtaining unit 301 and the processing unit 302 may be implemented by the processor 402 shown in fig. 4 calling the program code in the memory 401. For a specific implementation process, reference may be made to the description of the resource adjustment method portion shown in fig. 2, which is not described herein again.
Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions. For the specific working processes of the system, the apparatus, and the module described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not repeated here.
Embodiments of the present application provide a computer program product including instructions, which, when running on a network device of the present application, causes the network device to execute the resource adjustment method described in the foregoing method embodiments.
An embodiment of the present application further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when a computer executes the instructions, the network device of the present application executes each step executed by the resource adjustment device in the method flow shown in the foregoing method embodiment.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, and a hard disk. Random Access Memory (RAM), read-Only Memory (ROM), erasable Programmable Read-Only Memory (EPROM), registers, a hard disk, an optical fiber, a portable Compact disk Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium, in any suitable combination, or as appropriate 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 Application Specific Integrated Circuit (ASIC). In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method for resource adjustment, the method comprising:
acquiring a network slice service characteristic value of a network slice of a target type at a first moment, a user service characteristic value of each user corresponding to the network slice of the target type, and a service guarantee level agreement (SLA) level of each user;
determining resource users to be adjusted according to the user service characteristic value of each user and the SLA level of each user;
determining the resource adjustment priority of each resource user to be adjusted according to the network slice service characteristic value and the user service characteristic value of the resource user to be adjusted;
according to the resource users to be adjusted and the resource adjustment priority of the resource users to be adjusted, resource adjustment is carried out on the resource users to be adjusted;
the determining, according to the user service feature value of each user and the SLA level of each user, a resource user to be adjusted specifically includes: acquiring an SLA parameter threshold according to the SLA level of each user; performing a first operation on each user to determine at least one resource user to be adjusted; wherein the first operation is: and if the user service characteristic value is larger than the SLA parameter threshold value, determining that the user corresponding to the user service characteristic value is the resource user to be adjusted.
2. The method of claim 1, wherein the target type of network slice comprises one or more of: enhancing a mobile broadband emBB service slice, a high-reliability low-delay communication uRLlc service slice and a mass machine type communication mMTC service slice;
if the network slice of the target type comprises the emBB service slice, the network slice service characteristic value comprises a service rate maximum value and a service rate minimum value of the emBB service slice at the first moment;
if the network slice of the target type comprises the uRLLc service slice, the network slice service characteristic value comprises a service delay maximum value and a service delay minimum value of the uRLLc service slice at the first moment;
if the network slice of the target type comprises the mMTC service slice, the service feature value of the network slice comprises a maximum service packet loss rate and a minimum service packet loss rate of the mMTC service slice at the first moment.
3. The method of claim 2, wherein the user traffic characteristic value comprises: the instantaneous rate, the service delay, the packet loss rate and the average transmission rate of each user service at the second moment and the third moment of each user service at the first moment; wherein the second time and the third time are two consecutive times before the first time.
4. The method according to claim 3, wherein the determining the resource adjustment priority of each user according to the network slice service characteristic value and the user service characteristic value specifically comprises:
if the network slice is the emBB service slice, determining that the resource adjustment priority of each user meets the following formula according to the network slice service characteristic value and the user service characteristic value:
Figure FDA0003945881460000021
wherein, P emBB.k(t) The resource adjustment priority of a user k in the emBB service slice is represented, t is used for representing the first time, R k(t) Representing the instantaneous rate of user k at said first instant,
Figure FDA0003945881460000022
for representing the average transmission of user k at the second time and the third timeRate of delivery, R max Is used for representing the maximum value of the service rate, R, of the emBB service slice at the first moment min For representing a traffic rate minimum, P, of the emBB traffic slice at the first time instant SLA.k(t) The SLA level for representing user k;
if the network slice is the uRLlc service slice, determining that the resource adjustment priority of each user meets the following formula according to the network slice service characteristic value and the user service characteristic value:
Figure FDA0003945881460000023
wherein, P uRLLc.k(t) Used for representing the resource adjustment priority of user k in the uRLlc service slice, and t is used for representing the first time, R k(t) Representing the instantaneous rate of user k at said first instant,
Figure FDA0003945881460000024
for indicating the average transmission rate, U, of user k at said second and third time instants max Is used for representing the maximum value of the service delay, U, of the uRLlc service slice at the first moment min Is used for representing the minimum value of the service delay of the uRLLc service slice at the first moment, U k(t) Is used for expressing the service delay, P, of the user k at the first moment SLA.k(t) For representing the SLA level of user k;
if the network slice is the mMTC service slice, determining that the resource adjustment priority of each user meets the following formula according to the network slice service characteristic value and the user service characteristic value:
Figure FDA0003945881460000025
wherein, P mMTC.k(t) For showing upThe resource adjustment priority of user k in the mMTC service slice, t is used for representing the first time, R k(t) Representing the instantaneous rate of user k at said first instant,
Figure FDA0003945881460000026
for indicating the average transmission rate, M, of user k at said second and third time instants max Is used for representing the maximum value of the service packet loss rate, M, of the mMTC service slice at the first moment min Is used for representing the minimum value of the service packet loss rate, M, of the mMTC service slice at the first moment k(t) Is used for representing the packet loss rate, P, of the user k at the first moment SLA.k(t) For representing the SLA level of user k.
5. A resource adjustment apparatus, comprising: an acquisition unit and a processing unit;
the acquiring unit is configured to acquire a network slice service characteristic value of a network slice of a target type at a first time, a user service characteristic value of each user corresponding to the network slice of the target type, and a service guarantee level agreement SLA level of each user;
the processing unit is used for determining resource users to be adjusted according to the user service characteristic value of each user and the SLA level of each user;
the processing unit is further configured to determine a resource adjustment priority of each resource user to be adjusted according to the network slice service characteristic value and the user service characteristic value of the resource user to be adjusted;
the processing unit is further configured to perform resource adjustment on the resource users to be adjusted according to the resource users to be adjusted and the resource adjustment priority of the resource users to be adjusted;
the acquiring unit is further configured to acquire an SLA parameter threshold according to the SLA level of each user;
the processing unit is further configured to perform a first operation on each user to determine at least one resource user to be adjusted; wherein the first operation is: and if the user service characteristic value is larger than the SLA parameter threshold value, determining that the user corresponding to the user service characteristic value is the resource user to be adjusted.
6. The resource adjustment apparatus of claim 5, wherein the network slice of the target type comprises one or more of: enhancing a mobile broadband emBB service slice, a high-reliability low-delay communication uRLlc service slice and a mass machine type communication mMTC service slice;
if the network slice of the target type comprises the emBB service slice, the network slice service characteristic value comprises a service rate maximum value and a service rate minimum value of the emBB service slice at the first moment;
if the network slice of the target type comprises the uRLLc service slice, the network slice service characteristic value comprises a service delay maximum value and a service delay minimum value of the uRLLc service slice at the first moment;
if the network slice of the target type comprises the mMTC service slice, the network slice service characteristic value comprises a maximum service packet loss rate and a minimum service packet loss rate of the mMTC service slice at the first moment.
7. The resource adjustment apparatus according to claim 6, wherein the user traffic characteristic value comprises: the instantaneous rate, the service delay and the packet loss rate of each user service at the first moment and the average transmission rate of each user service at the second moment and the third moment; wherein the second time and the third time are two consecutive times before the first time.
8. The resource adjustment apparatus according to claim 7,
when the network slice is the emBB service slice, the processing unit determines that the resource adjustment priority of each user meets the following formula according to the network slice service characteristic value and the user service characteristic value:
Figure FDA0003945881460000041
wherein, P emBB.k(t) Used for representing the resource adjustment priority of a user k in the emBB service slice, t is used for representing the first time, R k(t) Representing the instantaneous rate of user k at said first instant,
Figure FDA0003945881460000042
for representing the average transmission rate, R, of user k at said second and third time instants max For representing a maximum value of a traffic rate, R, of the emBB traffic slice at the first time instant min Is used for representing the minimum value of the service rate of the emBB service slice at the first moment, P SLA.k(t) The SLA level for representing user k;
when the network slice is the urrllc service slice, the processing unit determines that the resource adjustment priority of each user meets the following formula according to the network slice service characteristic value and the user service characteristic value:
Figure FDA0003945881460000043
wherein, P uRLLc.k(t) Used for representing the resource adjustment priority of user k in the uRLlc service slice, and t is used for representing the first time, R k(t) Representing the instantaneous rate of user k at said first instant,
Figure FDA0003945881460000044
for indicating the average transmission rate, U, of user k at said second and third time instants max For representing the uRLLc traffic slice at the first time instantMaximum value of service delay, U min Is used for representing the minimum value, U, of the service delay of the uRLlc service slice at the first moment k(t) For indicating the service delay, P, of the user k at the first time SLA.k(t) The SLA level for representing user k;
when the network slice is the mtc service slice, the processing unit determines, according to the network slice service characteristic value and the user service characteristic value, that the resource adjustment priority of each user satisfies the following formula:
Figure FDA0003945881460000045
wherein, P mMTC.k(t) The resource adjustment priority is used for representing a user k in the mMTC service slice, t is used for representing the first time, R k(t) Representing the instantaneous rate of user k at said first instant,
Figure FDA0003945881460000046
for representing the average transmission rate, M, of user k at said second and third time instants max Is used for representing the maximum value of the service packet loss rate, M, of the mMTC service slice at the first moment min Is used for representing the minimum value of the service packet loss rate, M, of the mMTC service slice at the first moment k(t) Is used for representing the packet loss rate, P, of the user k at the first moment SLA.k(t) For representing the SLA level of user k.
9. A computer-readable storage medium, comprising instructions that when executed by a computer cause the computer to perform the resource adjustment method of any one of claims 1-4.
10. A network device, comprising: a processor and a memory; wherein the memory is configured to store computer-executable instructions, and when the network device is running, the processor executes the computer-executable instructions stored by the memory to cause the network device to perform the resource adjustment method of any one of claims 1-4.
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