CN113556761B - Slice resource adjustment method, system, terminal equipment and storage medium - Google Patents
Slice resource adjustment method, system, terminal equipment and storage medium Download PDFInfo
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Abstract
The disclosure provides a slice resource adjustment method, a system, a terminal device and a computer readable storage medium, wherein the method comprises the following steps: judging whether the slice service of the current slice meets the requirements of the agreed service guarantee level protocol; if the requirements of the agreed service guarantee level protocol are not met, the slice capacity condition of the current slice is evaluated; and adjusting the slice resource configuration of the current slice based on the slice capacity condition. According to the embodiment of the disclosure, the dynamic adjustment of the slice resources is performed on the slices which do not meet the SLA requirements, so that the utilization rate of the wireless resources can be effectively improved at least, and the pressure of shortage of the wireless resources is relieved.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a slice resource adjustment method, a slice resource adjustment system, a terminal device, and a computer readable storage medium.
Background
The network slicing technology is one of key technologies of 5G (5 th generation mobile networks, fifth generation mobile communication technology), and can increase flexibility of network resources by configuring a network so that a user obtains the most suitable network service as required.
The network slicing method is various, for example, slicing can be performed according to service scenes, service levels, network modes, different enterprises, special security requirements, special charging modes and the like, and although the slicing can be performed by configuring a network, a user can obtain the most suitable network service according to the needs, and the flexibility of network resources is increased, the slicing is not as much as possible. While flexibility is increased, excessive slicing can cause increased difficulty in dynamic management and resource sharing among different slices, and the method is a relatively large challenge for platform, arrangement, management and the like. From the perspective of slice management, resource isolation is an important feature of network slices, enabling failure, congestion of one slice without affecting the operation of another.
Although the wireless resources can be completely isolated in a resource exclusive manner, in view of the current situation of shortage of wireless resources, a scheme for dynamically adjusting slice resources to improve the wireless resource utilization rate is needed.
Disclosure of Invention
The present disclosure provides a slice resource adjustment method, a system, a terminal device, and a computer readable storage medium, so as to at least solve the above technical problems.
The slice resource adjusting method provided by the embodiment of the disclosure comprises the following steps:
judging whether the slice service of the current slice meets the requirements of the agreed service guarantee level protocol;
if the requirements of the agreed service guarantee level protocol are not met, the slice capacity condition of the current slice is evaluated; and adjusting the slice resource configuration of the current slice based on the slice capacity condition.
In one embodiment, the slice capacity condition includes a slice user access number and a slice resource utilization condition.
In one embodiment, the determining whether the slice service of the current slice meets the requirement of the agreed service guarantee level agreement includes:
acquiring slice state information and network key index KPI information of a current slice at intervals of a preset time period;
and judging whether the slice service of the current slice meets the requirements of the agreed service guarantee level protocol or not based on the slice state information and the network key index KPI information.
In one embodiment, after determining that the contracted service security level agreement requirement is not satisfied, the method further comprises:
analyzing the slice service characteristics of the current slice to obtain service characteristic analysis results;
setting a time threshold and a traffic threshold of slice resource allocation of a current slice based on the service characteristic analysis result;
the adjusting the slice resource configuration of the current slice based on the slice capacity condition includes:
and adjusting the slice resource allocation of the current slice based on the slice capacity condition, the time threshold and the traffic threshold of the slice resource allocation.
In one embodiment, after determining that the contracted service security level agreement requirement is not satisfied, the method further comprises:
carrying out service quality evaluation on the current slice to obtain a service quality evaluation result;
marking satisfied users and unsatisfied users in the current slice in the service quality evaluation result to obtain a marking result;
generating a slice resource adjustment list based on the marking result;
the adjusting the slice resource configuration of the current slice based on the slice capacity condition includes:
and adjusting the slice resource configuration of the current slice based on the slice capacity condition in the slice resource adjustment list.
According to another aspect of the embodiments of the present disclosure, there is provided a slice resource adjustment system, including:
the judging module is used for judging whether the slice service of the current slice meets the requirement of the agreed service guarantee level protocol;
the evaluation module is used for evaluating the slice capacity condition of the current slice when the judgment module judges that the contract service guarantee level agreement requirement is not met; the method comprises the steps of,
and the adjusting module is used for adjusting the slice resource configuration of the current slice based on the slice capacity condition.
In one embodiment, the slice capacity condition includes a slice user access number and a slice resource utilization condition.
In one embodiment, the determining module includes:
the acquisition unit is used for acquiring slice state information and network key index KPI information of a current slice at intervals of a preset time period;
and the judging unit is used for judging whether the slice service of the current slice meets the requirements of the agreed service guarantee level protocol or not based on the slice state information and the network key index KPI information.
According to still another aspect of the embodiments of the present disclosure, there is provided a terminal device including a memory and a processor, wherein the memory stores a computer program, and the processor executes the slice resource adjustment method when the processor runs the computer program stored in the memory.
According to still another aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the slice resource adjustment method.
The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:
according to the slice resource adjustment method provided by the embodiment of the disclosure, whether the slice service of the current slice meets the requirement of the agreed service guarantee level protocol is judged; if the requirements of the agreed service guarantee level protocol are not met, the slice capacity condition of the current slice is evaluated; and adjusting the slice resource configuration of the current slice based on the slice capacity condition. According to the embodiment of the disclosure, the dynamic adjustment of the slice resources is performed on the slices which do not meet the SLA requirements, so that the utilization rate of the wireless resources can be effectively improved at least, and the pressure of shortage of the wireless resources is relieved.
Additional features and advantages of the disclosure will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the disclosure. The objectives and other advantages of the disclosure will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the disclosed embodiments and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain, without limitation, the disclosed embodiments.
Fig. 1 is a flow chart of a slice resource adjustment method according to an embodiment of the disclosure;
fig. 2 is a schematic flow chart of step S101 in fig. 1;
fig. 3 is a flowchart illustrating another slice resource adjustment method according to an embodiment of the present disclosure;
fig. 4 is a flowchart of another slice resource adjustment method according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a slice resource adjustment system according to an embodiment of the disclosure;
FIG. 6 is a second schematic diagram of a slice resource adjustment system according to an embodiment of the disclosure;
fig. 7 is a schematic structural diagram of a terminal device according to an embodiment of the present disclosure.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present disclosure more apparent, the following detailed description of the specific embodiments of the present disclosure will be given with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the disclosure, are not intended to limit the disclosure.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order; moreover, embodiments of the present disclosure and features of embodiments may be arbitrarily combined with each other without conflict.
In the following description, suffixes such as "module", "component", or "unit" for representing elements are used only for facilitating the description of the present disclosure, and are not of specific significance per se. Thus, "module," "component," or "unit" may be used in combination.
The introduction of network slices in the 5G era has brought great flexibility to network deployment. The principle of network slicing is that a physical network is divided into a plurality of virtual networks through slicing, and each virtual network is divided according to different service requirements such as time delay, bandwidth, safety, reliability and the like, so that the differentiated requirements of different services are respectively met. The operators can define the network performance differently according to the characteristics of different services, and flexible network deployment, intelligent security isolation and real-time connection guarantee are provided for different service scenes according to the needs by dividing, sharing and optimizing the universal bottom infrastructure.
In order to solve the current situation of wireless resource shortage in the current slice management process, the embodiment of the disclosure provides a slice resource adjustment method, a method and a device for slice resource adjustment based on user service experience and slice service guarantee level, and reasonable division of slice wireless resources is performed based on service experience.
Referring to fig. 1, fig. 1 is a flowchart of a slice resource adjustment method according to an embodiment of the disclosure, where the method includes steps S101-S103.
In step S101, it is determined whether the slice service of the current slice meets the requirement of the agreed service security level agreement, if not, step S102 is executed, otherwise, the flow is ended.
In this embodiment, the current slice is taken as an example of one slice, in some embodiments, the current slice may be a plurality of different slices, and if the slice service of one or more current slices does not meet the requirement of the agreed service assurance level protocol, the step of adjusting the subsequent slice resources is entered.
Specifically, the present embodiment determines whether the current sliced slice Service meets the requirement of the agreed Service Level Agreement (SLA) assessment, where the implementation of the SLA mainly maps the signed Service requirement information to the network resource, and defines an SLA parameter S (S) 1 、S 2 、S 3 …、S i 、…S n )，S i (i=0, 1,2, …, n) represents network resource information required to meet the slicing SLA, and mainly includes two kinds of information of network performance and customer requirements. The network performance information includes end-to-end delay, bandwidth, maximum concurrent connection number (maximum number of simultaneous access users) of the message 5G network, and the like. The customer requirement information includes network slice instance coverage area, UE mobility class of the network slice instance, etc. In this embodiment, the slice SLA condition is evaluated in real time, and when the slice cannot guarantee the slice SLA requirement, the slice resource adjustment requirement is generated, and the subsequent resource adjustment step is entered.
The SLA is mainly service terms agreed by industry clients and operators, and aims at the offered service types, network resource slice arrangement, service areas/time and guarantee levels are agreed. Tenant slice SLA requirements may include: the maximum number of simultaneous access users in the network slice instance, the coverage area of the network slice instance, the end-to-end delay of the message 5G network (including the access network, the core network and the transmission network), the mobility grade of the user terminal UE of the network slice instance, and the network slice instance can share the indication mark.
In one embodiment, as shown in fig. 2, the step S101 includes a step S101a and a step S101b.
In step S101a, slice status information and network key indicator KPI information of the current slice are acquired at intervals of a preset time period.
Specifically, the system monitors the running state of the slice in real time, wherein the slice state information can comprise the information of the current user access number of the slice, the virtual resource utilization rate of the slice, the regional distribution condition of the slice user and the like; the network criticality index KPI information is used to characterize network quality, which is a key performance statistic of network functions within a network slice and/or network slice, e.g., network slice instance upstream throughput, etc.
In step S101b, it is determined whether the slice service of the current slice meets the requirement of the agreed service guarantee level protocol based on the slice state information and the network key indicator KPI information.
Specifically, the system also acquires network key index KPI information at the same time, monitors and evaluates whether the slicing service meets the agreed SLA requirements based on the acquired slicing state information and network KPI conditions (such as virtualized resource utilization, network and network slicing instance registration user number, 5G network end-to-end delay, network and network slicing instance uplink/downlink throughput, etc.).
In step S102, the slice capacity condition of the current slice is evaluated.
In this embodiment, the slice capacity condition includes the access number of slice users and the slice resource utilization ratio, that is, the number of users that can be accessed by a slice and the remaining resources that can be utilized by the slice resource.
In some embodiments, there are multiple slices that do not meet the SLA requirements at the same time as the figure, where the slice capacity case of the current slice is the slice capacity case of each of all the current slices.
In step S103, the slice resource configuration of the current slice is adjusted based on the slice capacity situation.
In this embodiment, the radio resource configuration of the current slice is adjusted according to the slice capacity of the current slice, and slice resources are reconfigured for the current slice, so that the slice can meet the SLA requirement, and meanwhile, the optimization of resource utilization is realized.
Specifically, according to the Service Level Agreement (SLA) guarantee terms and the service provider Subscription (SIB) guarantee conditions and the slicing capacity conditions, the network resource allocation conditions are calculated, the slicing resource allocation of the current slicing is completed, and then the current slicing resource allocation is issued to the maximum network resources of the RAN (radio network), the TN (transmission network) and the CN (core network), and the RAN/TN/CN can dynamically adjust the resources within the maximum network resource range. Such as: and the RAN side dynamically adjusts the resources within the range of guaranteeing the air interface resources and the maximum air interface resources.
In some embodiments, the slice resources may be further adjusted based on the slice capacity condition, slice quality of service, and traffic characteristics to achieve a reasonable partitioning of radio resources.
Referring to fig. 3, fig. 3 is a schematic flow chart of another slice resource adjustment method provided by the embodiment of the present disclosure, based on the above embodiment, the embodiment further optimizes reasonable division of wireless resources by analyzing slice service characteristics and adjusting slice resources based on the slice service characteristics, specifically, after determining that the requirement of the agreed service security level agreement is not met (after step S101), further includes step S301 and step S302, and further divides step S103 into step S103a.
In step S301, slice service features of the current slice are analyzed, and a service feature analysis result is obtained.
Specifically, slice service characteristics including slice service category characteristics, slice service time characteristics and the like can be analyzed by periodically acquiring slice state information and network key indicator KPI information.
In step S302, a time threshold and a traffic threshold of a slice resource configuration of the current slice are set based on the service feature analysis result.
Specifically, a time threshold and a traffic threshold of adjustable slice resource allocation of a current slice are obtained according to service feature analysis, wherein the time threshold, for example, if a slice service is busy in a certain time period in a service feature analysis result, does not allow adjustment of the resource allocation, so that problems of blocking the slice service and the like are avoided, and the traffic threshold is the same.
In step S103a, the slice resource allocation of the current slice is adjusted based on the slice capacity situation and the time threshold and traffic threshold of the slice resource allocation.
Referring to fig. 4, fig. 4 is a flowchart of another slice resource adjustment method according to an embodiment of the present disclosure, wherein the embodiment evaluates the quality of service and completes the slice resource allocation adjustment according to the quality of service evaluation, specifically, after determining that the requirement of the agreed service level agreement is not met (step S101), steps S401-S403 are further included, and step S103 is further divided into step S103b.
In step S401, the current slice is subjected to service quality evaluation, and a service quality evaluation result is obtained.
In step S402, the satisfied users and the unsatisfied users in the current slice are marked in the quality of service evaluation result, and a marking result is obtained.
Specifically, slice state information of a slice state management module and network key index KPI information of an OAM system are periodically received, service quality assessment is carried out according to service-level average service quality and user-level service quality, a service quality assessment result is obtained, and satisfactory users and unsatisfactory users in slices are marked in the service quality assessment result.
In step S403, a slice resource adjustment list is generated based on the marking result.
In this embodiment, the slice resource adjustment list is generated for the first time by taking the current slice as the first (or first lot) of slices which do not meet the SLA requirement as an example, and in some embodiments, the slice resource adjustment list may be added if the slice resource adjustment list is not the first or (first lot).
In step S103b, the slice resource configuration of the current slice is adjusted in the slice resource adjustment list based on the slice capacity situation.
In this embodiment, the SLA satisfaction condition of the sliced tenant service and the sliced tenant service quality condition are synthesized, and the rationality of the sliced network resource configuration is evaluated to form a sliced resource adjustment list. If the current network resource overage meets the SLA requirement and service quality of the sliced tenant service, generating a sliced resource adjustment list or adding the sliced resource into the sliced resource adjustment list, carrying out sliced resource configuration adjustment, and reducing the sliced resource configuration; if the current network resource can not meet the slice SLA requirement and service experience, the slice is also added into the slice resource adjustment list, and the resource allocation of the slice can be increased.
In some embodiments, in combination with the content of the foregoing embodiments, the SLA satisfaction condition, the slice tenant service quality condition and the slice tenant service feature of the slice tenant service may be comprehensively evaluated, and the slice network resource allocation rationality may be evaluated to form a slice resource adjustment list, so as to implement optimization of resource adjustment.
Based on the same technical concept, please refer to fig. 5, fig. 5 is a schematic structural diagram of a slice resource adjusting system according to an embodiment of the present disclosure, as shown in fig. 5, the system includes a judging module 51, an evaluating module 52 and an adjusting module 53, wherein,
the judging module 51 is configured to judge whether the slice service of the current slice meets the requirement of the agreed service guarantee level protocol;
the evaluation module 52 is configured to evaluate the slice capacity of the current slice when the judgment module judges that the requirement of the contracted service guarantee level agreement is not met; the method comprises the steps of,
the adjustment module 53 is configured to adjust a slice resource configuration of a current slice based on the slice capacity situation.
In one embodiment, the slice capacity condition includes a slice user access number and a slice resource utilization condition.
In one embodiment, the determining module 51 includes:
the acquisition unit is used for acquiring slice state information and network key index KPI information of a current slice at intervals of a preset time period;
and the judging unit is used for judging whether the slice service of the current slice meets the requirements of the agreed service guarantee level protocol or not based on the slice state information and the network key index KPI information.
In one embodiment, the system further comprises:
the analysis module is configured to analyze the slice service characteristics of the current slice to obtain a service characteristic analysis result when the judgment module 51 judges that the requirement of the agreed service guarantee level agreement is not met;
the setting module is used for setting a time threshold and a traffic threshold of slice resource allocation of the current slice based on the service characteristic analysis result;
the adjustment module 53 is specifically configured to adjust the slice resource configuration of the current slice based on the slice capacity situation and the time threshold and the traffic threshold of the slice resource configuration.
In one embodiment, the system further comprises:
the service evaluation module is configured to perform service quality evaluation on the current slice when the judgment module 51 judges that the requirement of the agreed service guarantee level agreement is not met, so as to obtain a service quality evaluation result;
a marking module configured to mark satisfactory users and unsatisfactory users in the slice in the service quality evaluation result, to obtain a marking result;
a list generation module arranged to generate a slice resource adjustment list based on the marking result;
the adjustment module 53 is specifically configured to adjust the slice resource configuration of the current slice based on the slice capacity situation in the slice resource adjustment list.
Referring to fig. 6, fig. 6 is a second schematic structural diagram of a slice resource adjusting system according to an embodiment of the disclosure, where the system includes a slice management system 61 and a slice resource analysis system 62, and in which,
the slice management system 61 includes a slice state management module 611 (i.e., an acquisition unit), a slice policy management module 612 (i.e., a setting module), and a slice resource configuration management module 613; is responsible for implementing full lifecycle management of slice instances.
The slice resource analysis system 62 includes a slice SLA evaluation module 621 (i.e., the judgment module 51), a slice service quality evaluation 622 (i.e., the service evaluation module), a slice service feature analysis module 623 (i.e., the analysis module), and a slice resource adjustment analysis module 624 (i.e., the adjustment module 53), which are responsible for intelligent computation and analysis of the adaptation of tenant service requirements and network resource services.
Slice state management module 611: and monitoring the running state of the slice, including the user access number of the slice, the utilization rate of the virtualized resources of the slice and the regional distribution condition of the slice users. And periodically transmits the slice status information to the quality of service assessment module 622 and slice SLA assessment module 621 in the slice resource analysis system 62. The quality of service evaluation module 622 may evaluate the user quality of service. Slice SLA evaluation module 622 can evaluate slice SLA satisfaction based on slice status.
Slice policy management module 612: the management slice policy includes a user access policy, a scheduling resource allocation policy, and the like. And a slicing strategy is formulated according to slicing service characteristics reported by a slicing service characteristic analysis module 623 in the slicing resource analysis system 62. For example, the allocation of slice resources is adjusted temporally according to the temporal characteristics of the slice traffic.
Slice resource allocation management module 613: and managing slice resource configuration information of each slice tenant. The analysis results of the slice resource adjustment analysis module 624 in the slice resource analysis system 62 with respect to the slice resources are received, and the resource configuration is updated for the slices for which the resource configuration is unreasonable. The slicing management system calculates the network resource allocation condition according to the slicing tenant and the operator signing SLA guarantee clause, and issues the network resource allocation condition to the maximum network resources of the RAN (radio network), the TN (transmission network) and the CN (core network), and the RAN/TN/CN can dynamically adjust the resources within the maximum network resource range. Such as: and the RAN side can dynamically adjust the resources according to the slice management strategy within the scope of guaranteeing the air interface resources and the maximum air interface resources.
Slice SLA assessment module 621: it is evaluated whether the slice service meets the provisioning service security level agreement (Service Level Agreement, SLA) requirements. The SLA is mainly the service clause agreed by industry clients and operators, and aims at the offered service type, and the arrangement of network resource slices, service areas/time and guarantee level are agreed. Tenant slice SLA requirements include: the maximum number of simultaneous accesses in a network slice instance, the network slice instance coverage area, the packet 5G network end-to-end delay (including access network, core network, and transport network), the UE mobility class of the network slice instance, and the network slice instance may share an indicator. The slice SLA evaluation module monitors and evaluates whether the slice service meets the agreed SLA requirements based on the slice status and network KPI conditions (such as virtualized resource utilization, network and network slice instance registered user number, 5G network end-to-end delay, network and network slice instance uplink/downlink throughput, etc.).
Quality of service assessment module 622: based on the slice status and the network KPI conditions of the OAM system 63, the service quality of the tenant in the slice is evaluated, including the service level average service quality and the user level service quality.
Slice business feature analysis module 623: and analyzing the slice service characteristics, including slice service category characteristics, slice service time characteristics and the like. And reporting the analysis result of the slice service characteristics to a slice strategy management system.
Slice resource adjustment analysis module 624: and (3) comprehensively evaluating the SLA satisfaction condition, the slice tenant service quality condition and the slice tenant service characteristics of the slice tenant service, and forming a slice resource adjustment list by evaluating the rationality of the slice network resource configuration. If the current network resource overage meets the SLA requirement and service quality of the sliced tenant service, adding the sliced piece into a sliced piece resource adjustment list to report to a sliced piece resource configuration management module of a sliced piece management system, and reducing the resource configuration of the sliced piece; if the current network resource can not meet the slice SLA requirement and service experience, the slice is also added into a slice resource adjustment list to be reported to a slice management system, and the slice management system can increase the resource allocation of the slice.
Based on the same technical concept, the embodiments of the present disclosure correspondingly further provide a terminal device, as shown in fig. 7, including a memory 71 and a processor 72, where the memory 71 stores a computer program, and when the processor 72 runs the computer program stored in the memory 71, the processor 71 executes the slice resource adjusting method according to any one of claims 1 to 5.
Based on the same technical concept, the embodiments of the present disclosure correspondingly further provide a computer readable storage medium, on which a computer program is stored, which when executed by a processor, performs the slice resource adjustment method.
Those of ordinary skill in the art will appreciate that all or some of the steps, systems, functional modules/units in the apparatus, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between the functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed cooperatively by several physical components. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present disclosure, and not for limiting the same; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present disclosure.
Claims (9)
1. A method for slice resource adjustment, comprising:
judging whether the slice service of the current slice meets the requirements of the agreed service guarantee level protocol;
if the requirements of the agreed service guarantee level protocol are not met, the slice capacity condition of the current slice is evaluated; and adjusting slice resource allocation of the current slice based on the slice capacity condition;
after judging that the requirements of the agreed service assurance level agreement are not met, the method further comprises the following steps:
analyzing the slice service characteristics of the current slice through the periodically acquired slice state information and network key index KPI information of the current slice to obtain service characteristic analysis results, wherein the service characteristic analysis results comprise slice service class characteristics and slice service time characteristics of the current slice; the slice state information comprises the current user access quantity of the slice, the virtual resource utilization rate of the slice and the regional distribution condition of the slice users, and the network key index KPI is used for representing the network quality and is a key performance statistical result of network functions in the network slice and/or the network slice, including the uplink throughput of the network slice example;
setting a time threshold and a traffic threshold for adjusting the slice resource allocation of the current slice based on the service characteristic analysis result, wherein the time threshold refers to the fact that the adjustment of the resource allocation is not allowed if the slice service is busy in a certain time period in the service characteristic analysis result;
the adjusting the slice resource configuration of the current slice based on the slice capacity condition includes:
and adjusting the slice resource configuration of the current slice based on the slice capacity condition, the time threshold and the traffic threshold of the slice resource configuration adjustment.
2. The method of claim 1, wherein the slice capacity condition comprises a slice user access number and a slice resource utilization condition.
3. The method of claim 1, wherein determining whether the slice service of the current slice meets the provisioning service assurance level agreement requirement comprises:
acquiring slice state information and network key index KPI information of a current slice at intervals of a preset time period;
and judging whether the slice service of the current slice meets the requirements of the agreed service guarantee level protocol or not based on the slice state information and the network key index KPI information.
4. The method of claim 1, further comprising, after determining that the promissory service level agreement requirement is not met:
carrying out service quality evaluation on the current slice to obtain a service quality evaluation result;
marking satisfied users and unsatisfied users in the current slice in the service quality evaluation result to obtain a marking result;
generating a slice resource adjustment list based on the marking result;
the adjusting the slice resource configuration of the current slice based on the slice capacity condition includes:
and adjusting the slice resource configuration of the current slice based on the slice capacity condition in the slice resource adjustment list.
5. A slice resource adjustment system, comprising:
the judging module is used for judging whether the slice service of the current slice meets the requirement of the agreed service guarantee level protocol;
the evaluation module is used for evaluating the slice capacity condition of the current slice when the judgment module judges that the contract service guarantee level agreement requirement is not met;
an adjustment module configured to adjust a slice resource configuration of a current slice based on the slice capacity condition;
the analysis module is used for analyzing the slice service characteristics of the current slice through the periodically acquired slice state information and network key index KPI information of the current slice to obtain service characteristic analysis results, wherein the service characteristic analysis results comprise slice service class characteristics and slice service time characteristics of the current slice; the slice state information comprises the current user access quantity of the slice, the virtual resource utilization rate of the slice and the regional distribution condition of the slice users, and the network key index KPI is used for representing the network quality and is a key performance statistical result of network functions in the network slice and/or the network slice, including the uplink throughput of the network slice example; the method comprises the steps of,
the setting module is used for setting a time threshold and a traffic threshold for adjusting the slice resource allocation of the current slice based on the service characteristic analysis result, wherein the time threshold refers to the condition that the adjustment of the resource allocation is not allowed if the slice service is busy in a certain time period in the service characteristic analysis result;
the adjusting module is specifically configured to adjust the slice resource configuration of the current slice based on the slice capacity condition and the time threshold and the traffic threshold adjusted by the slice resource configuration.
6. The system of claim 5, wherein the slice capacity conditions include a slice user access number and a slice resource utilization condition.
7. The system of claim 5, wherein the determination module comprises:
the acquisition unit is used for acquiring slice state information and network key index KPI information of a current slice at intervals of a preset time period;
and the judging unit is used for judging whether the slice service of the current slice meets the requirements of the agreed service guarantee level protocol or not based on the slice state information and the network key index KPI information.
8. A terminal device comprising a memory and a processor, the memory having stored therein a computer program, which when executed by the processor performs the slice resource adjustment method according to any one of claims 1 to 4.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, performs the slice resource adjustment method according to any one of claims 1 to 4.
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| CN116419102A (en) * | 2021-12-31 | 2023-07-11 | 华为技术有限公司 | Service slicing processing method and device |
| CN114338401A (en) * | 2021-12-31 | 2022-04-12 | 中国电信股份有限公司 | Resource allocation method, device, electronic equipment and readable medium |
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108599994A (en) * | 2018-03-26 | 2018-09-28 | 华南理工大学 | A kind of SDN slice building methods based on flow cluster |
| CN108833181A (en) * | 2018-06-25 | 2018-11-16 | 北京邮电大学 | NG-CN network slice systems and network are sliced selection method |
| CN109429277A (en) * | 2017-07-05 | 2019-03-05 | 中兴通讯股份有限公司 | The selection method of network slice, apparatus and system |
| CN110602717A (en) * | 2019-09-18 | 2019-12-20 | 四川长虹电器股份有限公司 | Disaster recovery processing method for 5G network slice |
| CN111385112A (en) * | 2018-12-28 | 2020-07-07 | 中兴通讯股份有限公司 | Slice resource deployment method, device, slice manager and computer storage medium |
| CN111769970A (en) * | 2020-05-28 | 2020-10-13 | 中国科学院计算技术研究所 | Network slice wireless resource demand management method |
| CN112020121A (en) * | 2018-01-19 | 2020-12-01 | Oppo广东移动通信有限公司 | Access control method, device and computer storage medium |
| CN112514344A (en) * | 2018-08-03 | 2021-03-16 | 华为技术有限公司 | Method and function for network performance monitoring and service assurance |
| CN112929187A (en) * | 2019-12-05 | 2021-06-08 | 中国电信股份有限公司 | Network slice management method, device and system |
| CN112970228A (en) * | 2018-11-09 | 2021-06-15 | 华为技术有限公司 | Method and system for performance assurance with conflict management when providing network slicing service |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPWO2017170937A1 (en) * | 2016-04-01 | 2019-02-21 | 株式会社Ｎｔｔドコモ | Slice changing method and slice changing device |
| WO2017214932A1 (en) * | 2016-06-16 | 2017-12-21 | 华为技术有限公司 | Network-slice resource management method and apparatus |
| CN110662261B (en) * | 2018-06-30 | 2022-06-28 | 华为技术有限公司 | Resource allocation method and device for network slices |
-
2021
- 2021-06-25 CN CN202110712406.2A patent/CN113556761B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109429277A (en) * | 2017-07-05 | 2019-03-05 | 中兴通讯股份有限公司 | The selection method of network slice, apparatus and system |
| CN112020121A (en) * | 2018-01-19 | 2020-12-01 | Oppo广东移动通信有限公司 | Access control method, device and computer storage medium |
| CN108599994A (en) * | 2018-03-26 | 2018-09-28 | 华南理工大学 | A kind of SDN slice building methods based on flow cluster |
| CN108833181A (en) * | 2018-06-25 | 2018-11-16 | 北京邮电大学 | NG-CN network slice systems and network are sliced selection method |
| CN112514344A (en) * | 2018-08-03 | 2021-03-16 | 华为技术有限公司 | Method and function for network performance monitoring and service assurance |
| CN112970228A (en) * | 2018-11-09 | 2021-06-15 | 华为技术有限公司 | Method and system for performance assurance with conflict management when providing network slicing service |
| CN111385112A (en) * | 2018-12-28 | 2020-07-07 | 中兴通讯股份有限公司 | Slice resource deployment method, device, slice manager and computer storage medium |
| CN110602717A (en) * | 2019-09-18 | 2019-12-20 | 四川长虹电器股份有限公司 | Disaster recovery processing method for 5G network slice |
| CN112929187A (en) * | 2019-12-05 | 2021-06-08 | 中国电信股份有限公司 | Network slice management method, device and system |
| CN111769970A (en) * | 2020-05-28 | 2020-10-13 | 中国科学院计算技术研究所 | Network slice wireless resource demand management method |
Non-Patent Citations (4)
| Title |
|---|
| China Mobile.S2-1903709 "Discussion for update Solution 32 for How to ensure that slice SLA is guaranteed and draw Key Issue14 conclusion".3GPP tsg_sa\wg2_arch.2019,(tsgs2_132_xian),全文. * |
| Huawei, HiSilicon.S2-1911194 "KI #4: Remaining aspects on how to guarantee Slice SLA.".3GPP tsg_sa\wg2_arch.2019,(tsgs2_136_reno),全文. * |
| 基于改进式贪婪算法的5G网络切片动态资源调度策略;陈强;刘彩霞;李凌书;;网络与信息安全学报;20180715(07);全文 * |
| 面向5G RAN的网络切片技术;王D;罗凤娅;孙国林;;电信科学;20180320(03);全文 * |
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