CN114978948B - Evaluation method, device, equipment and storage of network element bearing network slicing service - Google Patents

Evaluation method, device, equipment and storage of network element bearing network slicing service Download PDF

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Publication number
CN114978948B
CN114978948B CN202210555990.XA CN202210555990A CN114978948B CN 114978948 B CN114978948 B CN 114978948B CN 202210555990 A CN202210555990 A CN 202210555990A CN 114978948 B CN114978948 B CN 114978948B
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network element
network
capacity
service
slice
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CN114978948A (en
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张骅
周辉
李东亮
邢亮
宋阿芳
陈强
于培华
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China Telecom Corp Ltd
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China Telecom Corp Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/50—Testing arrangements

Abstract

The disclosure provides a method, a device, equipment and storage for evaluating network element bearing network slicing service, and relates to the technical field of communication. Determining the service capacity of a network element according to the networking mode of the network element; determining the permission capacity of a network element according to a first mapping relation established in advance, wherein the first mapping relation represents the mapping relation between the network slice service level agreement SLA and the network element performance; determining the network slice capacity according to a second mapping relation established in advance, wherein the second mapping relation represents the mapping relation between SLA and network element bandwidth; and determining the service bearing capacity of the network element to the network slice according to the SLA issued by the network slice, the service capacity of the network element, the permission capacity of the network element and the network slice capacity. The method and the device can evaluate the service bearing capacity of the network element on the network slice, and reduce the problem of unstable service caused by excessive service bearing.

Description

Evaluation method, device, equipment and storage of network element bearing network slicing service
Technical Field
The disclosure relates to the technical field of communication, and in particular relates to a method, a device, equipment and storage for evaluating network element bearing network slicing service.
Background
The 5G core network subnet slice is a novel communication network service technology and architecture defined based on network function virtualization (Network Function Virtualization, NFV) and software defined network (Software Define Network, SDN) technologies, which constructs an end-to-end isolated logical communication network based on virtual or physical resources, providing one or more specific communication network services to users as needed. Since the actual bearer of the 5G core network sub-network slice involves multiple network element classes, and since the exclusive/shared modes and the core network element networking modes are different, the network element ranges and the number of the core network sub-network slices are also different.
At present, for the management of 5G core network sub-network slices and network resources, a means for evaluating and predicting the network resources is lacking, if the number of online users or the number of sessions is too large, the performance index of network elements is overloaded, the stability of network services is affected, even the service of the online users is interrupted, and the like, so that the user experience is poor.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure provides a method, an apparatus, an electronic device, and a storage medium for evaluating network element load-bearing network slice services, which at least overcome to a certain extent the problem that the service load-bearing capacity of a network element to a network slice results in unstable service after overload of a network element performance index in the related art.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to one aspect of the present disclosure, there is provided a method for evaluating network element bearer network slicing service, including: determining the service capacity of a network element according to the networking mode of the network element; determining the permission capacity of the network element according to a first mapping relation established in advance, wherein the first mapping relation represents the mapping relation between the network slice service level agreement SLA and the network element performance; determining a network element performance index according to a second mapping relation established in advance, wherein the second mapping relation represents the mapping relation between SLA and network element bandwidth; and determining the service bearing capacity of the network element to the network slice according to the SLA issued by the network slice, the service capacity of the network element, the permission capacity of the network element and the network element performance index.
In one embodiment of the present disclosure, before determining the service capacity of the network element according to the networking manner of the network element, the method further includes: and obtaining a networking mode of the network element.
In one embodiment of the present disclosure, obtaining a networking manner of a network element includes: acquiring first preemption information issued by a network slice, wherein the first preemption information comprises: a tracking area TA; according to the range of the TA, an AMF network element range to which the network slice belongs is obtained; determining the SMF network element range to which the network slice belongs according to the AMF network element range; obtaining a user plane function UPF network element range to which the network slice belongs according to the SMF network element range and the TA range; and acquiring the AMF network element range, the SMF network element range and the UPF network element range to which the network slice belongs, and determining a networking mode of the network element.
In one embodiment of the present disclosure, the pre-established first mapping relationship includes: acquiring first preemption information issued by a network slice, wherein the first preemption information comprises performance information of the network slice and the maximum number of terminals carried by the network slice; and carrying out association mapping on the performance information and the maximum terminal number borne by the network slice, and establishing a mapping relation between the network slice service level agreement SLA and the network element performance to obtain a pre-established first mapping relation.
In one embodiment of the present disclosure, the performance information includes: the maximum registered active user number of the authentication management function AMF network element and the maximum protocol data unit PDU session number of the service management function SMF network element.
In one embodiment of the present disclosure, determining the network element performance index according to the second mapping relation established in advance includes: obtaining second preemption information issued by the network slice, wherein the second preemption information comprises: SLA and network slice scene; acquiring network element bandwidth, and establishing a mapping relation between the SLA and the network element bandwidth to obtain a second mapping relation; and according to the network slice scene, calculating to obtain the network element performance index meeting the second mapping relation.
In one embodiment of the present disclosure, obtaining the network element bandwidth includes: and obtaining the sum of uplink kilobyte rate and downlink kilobyte rate forwarded by the UPF network element, and determining the bandwidth of the network element.
In one embodiment of the present disclosure, the network slice scenario is any one of the following: the mobile broadband scene eMBB, the ultra-high reliability and low-delay communication scene uRLLC are enhanced.
According to another aspect of the present disclosure, there is provided an evaluation apparatus for network element bearer network slicing service, including: the service capacity inquiry module is used for determining the service capacity of the network element according to the networking mode of the network element; the permission capacity determining module determines the permission capacity of the network element according to a first mapping relation which is established in advance, wherein the first mapping relation represents the mapping relation between the network slice service level agreement SLA and the network element performance; the network element performance index determining module is used for determining a network element performance index according to a second mapping relation which is established in advance, wherein the second mapping relation represents a user experience index and a network slice bandwidth; and the service bearing capacity determining module is used for determining the service bearing capacity of the network element to the network slice according to the SLA issued by the network slice, the service capacity of the network element, the permission capacity of the network element and the network element performance index.
According to still another aspect of the present disclosure, there is provided an electronic apparatus including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute the above-described method of evaluating network element bearer network slice traffic via execution of the executable instructions.
According to yet another aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-mentioned method for evaluating network element bearer network slicing traffic.
The method, the device, the equipment and the storage for evaluating the network element bearing network slicing service provided by the embodiment of the disclosure determine the service capacity of the network element according to the networking mode of the network element; determining the permission capacity of the network element according to a pre-established mapping relation between the network slice service level agreement SLA and the network element performance; determining a network element performance index according to a pre-established mapping relation between SLA and network element bandwidth; and determining the service bearing capacity of the network element to the network slice according to the SLA issued by the network slice, the service capacity of the network element, the permission capacity of the network element and the performance index of the network element. In the embodiment of the disclosure, the service carrying capacity of the network element to the network slice is obtained through evaluation, so that the overload of the performance index of the network element can be judged, the service control is operated in a stable state, and the user experience is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
Fig. 1 is a flowchart of an evaluation method of network element bearer network slice service in an embodiment of the disclosure;
fig. 2 is a flowchart illustrating a specific example of an evaluation method of network element bearer network slice service in an embodiment of the disclosure;
fig. 3 is a flowchart illustrating a specific example of an evaluation method of network element bearer network slice service in an embodiment of the disclosure;
fig. 4 is a flowchart illustrating a specific example of an evaluation method of network element bearer network slice service in an embodiment of the disclosure;
fig. 5 is a flowchart illustrating a specific example of an evaluation method of network element bearer network slice service in an embodiment of the disclosure;
Fig. 6 is a flowchart illustrating a specific example of an evaluation method of network element bearer network slice service in an embodiment of the disclosure;
fig. 7 is a flowchart illustrating a specific example of an evaluation method of network element bearer network slice service in an embodiment of the disclosure;
fig. 8 is a flowchart illustrating a specific example of an evaluation method of network element bearer network slice service in an embodiment of the disclosure;
fig. 9 is a schematic diagram of an evaluation apparatus for network element bearer network slice service in an embodiment of the disclosure;
fig. 10 shows a block diagram of an electronic device in an embodiment of the disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
For ease of understanding, the following first explains the several terms involved in this disclosure as follows:
5G:5th Generation Mobile Communication Technology, fifth generation mobile communication technology.
CN: core Network, core Network.
SLA: service-Level Agreemen, service Level agreement.
NSSI: network Slice Subnet Instance, network slice subnet instance.
NSSMF: network Slice Subnet Management Function, network slice subnet management function.
AMF: access and Mobility management Function, access and mobility management functions.
SMF: session Management Function, session management function.
UPF: user Plane Function, user plane functions.
And NE: network Equipment, network devices.
NSI: network Specific Identifier, a network specific identifier.
Mbps: megabits per second megabits per second.
Kbps: kilobit per second kilobits per second.
The present exemplary embodiment will be described in detail below with reference to the accompanying drawings and examples.
Firstly, in the embodiment of the present disclosure, a method for evaluating a network element bearer network slice service is provided, where the method may be executed by any electronic device having a computing processing capability.
Fig. 1 shows a flowchart of a method for evaluating a network element bearer network slicing service in an embodiment of the present disclosure, and as shown in fig. 1, the method for evaluating a network element bearer network slicing service provided in an embodiment of the present disclosure includes the following steps:
step S102, according to the networking mode of the network element, determining the service capacity of the network element.
It should be noted that the network element may be a network device that is formed by one or more chassis or frames and is capable of independently completing a certain transmission function. For example, the network element may be an AMF network element, an SMF network element, a UPF network element, or the like. The networking mode can be the networking mode of similar network elements. For example, the networking mode may be modes such as 1+1 primary backup, 1+1 mutual backup, load sharing, POOL and n+1 backup.
In one embodiment, after the aggregate ranges of the AMF network element, the SMF network element and the UPF network element to which the slice belongs are definitely determined, the number and the networking mode of the similar network elements are confirmed, and the service receiving and distributing modes of the network elements are definitely determined. And confirming the statistical relationship of the service capacity License values according to a networking mode, for example, the intra-provincial AMF network elements generally adopt a mode of networking to share the service. For statistics of traffic capacity License, the AMF network element License capacity of all groups pool is summed up and counted (corresponding to the traffic capacity).
Step S104, determining the permission capacity of the network element according to a pre-established first mapping relation, wherein the first mapping relation represents the mapping relation between the network slice service level agreement SLA and the network element performance.
In the telecommunications field, NEs are basically managed based on a License (License), that is, the License limits functions and resources of the network device. For example, the License control item includes a total capacity of a design capacity, a used capacity, and a remaining capacity, in which the License capacity is a resource class. The network slice can be an on-demand networking manner, so that operators can separate a plurality of virtual end-to-end networks on a unified infrastructure, and each network slice is logically isolated from a wireless access network to a bearing network and then to a core network so as to adapt to various types of applications. For example, the network slice may be a core network subnet slice.
In one embodiment, according to the mapping relation between the SLA and the network element performance, the License corresponding to the network element performance and related to the network element capacity is found. For example, according to the networking mode of the network elements, the service capacity License data of each network element is matched, according to the mapping identification relationship between the key index of SLA (corresponding to the SLA) and the performance index of the network element (corresponding to the performance of the network element), according to different SLA index requirements, the related network elements and the service capacity License values (corresponding to the licensed capacity of the network element) are matched.
Step S106, determining the performance index of the network element according to a pre-established second mapping relation, wherein the second mapping relation represents the mapping relation between the SLA and the network element bandwidth.
It should be noted that, the network element bandwidth may be a traffic bandwidth supported by the network element, that is, a capability of the network element to transfer data.
For example, by mapping the single user experience rate of the SLA multiplied by the maximum number of supported terminals (corresponding to the network element bandwidth described above), the requirements for the slicing rate can be mapped to the traffic bandwidth for the UPF network element user plane, i.e. the overall throughput performance index (corresponding to the network element performance index described above).
Step S108, according to SLA issued by the network slice, service capacity of the network element, permission capacity of the network element and performance index of the network element, determining service bearing capacity of the network element to the network slice.
In one embodiment, compared with the guarantee requirement of the sub-network slice preemption to the slice SLA index issued, the service carrying capacity of the network element to the target slice example is rapidly judged through the service capacity License condition of the network element, and whether the slice example can meet the maximum service concurrency according to each index of the SLA requirement.
Through the embodiment, the service carrying capacity of the network element to the network slice is determined, so that the overload of the performance index of the network element can be judged, the service control is operated in a stable state, and the user experience is improved.
In one embodiment, before determining the service capacity of the network element according to the networking manner of the network element, the method further includes: and obtaining a networking mode of the network element.
In an embodiment of the present disclosure, as shown in fig. 2, the evaluation method for a network element bearer network slice service provided in the embodiment of the present disclosure may obtain a networking mode of a network element by:
s202, acquiring first preemption information issued by a network slice, wherein the first preemption information comprises: a tracking area TA;
s204, according to the range of the TA, obtaining the AMF network element range to which the network slice belongs;
s206, determining the SMF network element range to which the network slice belongs according to the AMF network element range;
s208, obtaining a user plane function UPF network element range to which the network slice belongs according to the SMF network element range and the TA range;
s210, acquiring an AMF network element range, an SMF network element range and a UPF network element range to which the network slice belongs, and determining a networking mode of the network elements.
In one example, the network slicing arrangement informs the core network NSMF to camp on the NSSI that needs to meet the SLA, and the presence of SLA capacity requirement subscription information in the subscription information brings out the slicing instance design so specifies the set of tracking areas, i.e., TAs, that are allowed to be selected, including legal TACs and extended TACs. The TA information gives the area information which the slice example is allowed to access, namely the AMF network element range to which the slice example belongs can be determined, and after the AMF network element range is definitely defined, the AMF network element range can be obtained through 5G core network networking information and network topology relation, and networking is carried out through an N11 interface and AMF in the range. According to the obtained network element ranges of AMF and SMF, combining TA information and 5G core network topology information, a relevant UPF network element list for carrying slicing service in the range of TA and access base station can be obtained. Knowing the AMF, SMF, UPF network element range related to the 5G core network slice, and confirming the networking mode of the similar network elements according to the core network networking mode: such as 1+1 master, 1+1 mutual, load sharing, POOL, or n+1 backups. And according to different networking modes, different modes of different network elements for carrying the traditional service and the core network subnet slicing service are confirmed.
In an embodiment of the present disclosure, as shown in fig. 3, the evaluation method for a network element bearer network slice service provided in the embodiment of the present disclosure may pre-establish a first mapping relationship, and may establish a mapping relationship between a network slice service level agreement SLA and network element performance by:
s302, acquiring first preemption information issued by a network slice, wherein the first preemption information comprises performance information of the network slice and the maximum number of terminals carried by the network slice;
and S304, performing association mapping on the performance information and the maximum terminal number borne by the network slice, and establishing a mapping relation between the network slice service level agreement SLA and the network element performance to obtain a pre-established first mapping relation.
In one example, when a subnet slice is pre-occupied with network resources, the maximum terminal number required to be supported by the slice example is issued to NSSMF, the exact number of users required to be borne by the slice example in the maximum concurrency state is confirmed through the caliber of the number of users, and the SLA index is required to be used as a key parameter of the slice capacity and used for judging the magnitude of the load traffic of the slice example; observing the performance index of the AMF network element, wherein the index of the maximum registered active user number of the AMF can refer to the concurrency of the number of terminals supported by the sub-network slice of the core network; observing SMF network element performance index, wherein the maximum PDU session number of 5G can be used as a key parameter of the maximum terminal number supported by another sub-network slice capacity; combining the above referenced network element performance indexes, taking the minimum value of two indexes, and mapping the minimum value to the maximum supported terminal number index of the slice example, wherein the maximum supported terminal number index can be calculated by using the following formula:
T≤Min{S 1 ，S 2 }；
Wherein S is 1 Characterizing AMF registered user number, S 2 Characterizing the SMF maximum PDU session number, T characterizing the maximum number of terminals that the slice instance requires to support, min characterizing the minimum value, min { S } 1 ，S 2 Sign S 1 、S 2 Is the minimum value of (a). The maximum supported terminal number in the SLA requirement of the sub-network slicing example is mapped to the key performance index of the 5G core network element by the method, and the mapping identification and calculation method is defined. And converting the evaluation of the 5G core network sub-network slice service SLA capacity requirement index into the evaluation of the performance index of the 5G core network element, and establishing the mapping relation between the network slice service level agreement SLA and the network element performance.
In one embodiment, the maximum number of supported terminals required for a subnet slice, i.e., the maximum concurrent user posting that a slice instance needs to satisfy. The maximum capacity of the network is compared with key performance indexes of network elements, namely, the performance indexes of the maximum registered user number of AMF, the maximum PDU online session number of SMF and the like. The maximum number of terminals according to the slice should not be higher than the minimum value between the maximum number of registered users of AMF and the maximum number of PDU online sessions of SMF.
In one embodiment, the mapping relation between the sub-network slice guarantee performance index and the network element key performance index is obtained according to the mapping identification and calculation method between the maximum terminal number supported by the sub-network slice of the 5G core network and the maximum network access capacity and the mapping identification and calculation method between the user experience rate index required by the sub-network slice of the 5G core network and the network bandwidth of the core network. The supported maximum terminal number and the user experience rate of the subnet slice are respectively mapped to the AMF maximum registered user number of the network element performance index, the 5G maximum PDU session number of the SMF and the UPF network element overall throughput (average); and respectively obtaining the conversion method and the mapping relation between the maximum supported user number of the slice, the registered user number of the network element and the maximum PDU session number, and the conversion method and the mapping relation between the slice requirement guaranteeing user experience rate and the whole throughput of the network element, namely the bandwidth.
In one embodiment, the authentication management function AMF network element has a maximum number of registered active users and the service management function SMF network element has a maximum number of protocol data unit PDU sessions.
In one embodiment of the present disclosure, as shown in fig. 4, the evaluation method for network element bearer network slice service provided in the embodiment of the present disclosure may determine a network element performance index by:
s402, obtaining second preemption information issued by the network slice, wherein the second preemption information comprises: SLA and network slice scene;
s404, acquiring network element bandwidth, establishing a mapping relation between SLA and the network element bandwidth, and obtaining a second mapping relation;
and S406, calculating to obtain the network element performance index meeting the second mapping relation according to the network slice scene.
For example, the subnet slice camps on network resources and issues a speed guarantee requirement (kbps) of the slice instance for user experience under different slice type scenes to the NSSMF, and the SLA index requirement is used as a key parameter of the slice performance requirement to judge whether the guarantee requirement for the user experience speed can be met by the key performance index of the 5G core network when the target slice instance receives the slice service. Based on the performance index analysis of the user plane of the core network, the overall throughput (average) of the UPF network element, namely the sum (Mbps) of uplink and downlink kilobyte rates for forwarding, directly reflects the forwarding condition of the UPF network element on the user plane on uplink and downlink service data, and can observe the saturation degree of the throughput data of the network element. Since the core network subnet slice requires the user experience rate to be divided into different scenes, the upgoing and downgoing experience rates (Kbps) of the user are focused in the eMBB scene, and the user experience rate (Kbps) is focused in the uRLLC scene. And combining the throughput of the UPF network element and the slicing requirement guarantee rate, and mapping to the UPF bandwidth of the 5G core network because the guarantee rate is a single user experience guarantee value, so that the maximum number of supported terminals of the slicing example is required to be assembled. By mapping the single user experience rate required by the slice SLA multiplied by the maximum number of supported terminals, the requirement on the slice rate can be mapped to the traffic bandwidth on the UPF network element user plane, namely the throughput performance index of the whole machine. The guarantee of the rate experience of a single user is relatively easy to achieve, but from the angles of the whole 5G core network sub-network slicing example, the core network and network elements, the experience rates of all users under the slicing example needing to be guaranteed, so the requirement of the slicing on the user experience rate can be intuitively mapped from the performance index of the throughput of the UPF network element whole machine.
The method and the device can be used for evaluating the performance consumption of a 5G core network sub-network slice example on a 5G core network element and the service capacity consumption condition of the network element, and judging the evaluation and prediction means of the network resource capacity on the running trend of a future 5G core network and the sub-network slice capacity from the perspective of the core network resource by combining the design capacity, the used capacity and the residual capacity of the network element.
In one embodiment, obtaining the network element bandwidth includes: and obtaining the sum of uplink kilobyte rate and downlink kilobyte rate forwarded by the UPF network element, and determining the bandwidth of the network element.
In one embodiment, the network slice scenario is any one of the following: the mobile broadband scene eMBB, the ultra-high reliability and low-delay communication scene uRLLC are enhanced.
In one embodiment, when the slice scene is an eMBB scene, the performance data is calculated to satisfy the following formula:
wherein,indicating the user uplink experience rate +.>And the downlink experience rate of the user is represented, N represents the maximum supported terminal number of the network slice, and B represents the overall throughput of the UPF network element.
In one embodiment, when the slice scene is a uRLLC scene, the performance data is calculated to satisfy the following formula:
V uRLLC ×N÷1000≤B，
wherein V is uRLLC And the user experience rate is represented, N represents the maximum supported terminal number of the network slice, and B represents the overall throughput of the UPF network element.
In an embodiment of the present disclosure, as shown in fig. 5, the evaluation method for a network element bearer network slice service provided in the embodiment of the present disclosure may implement a mapping identification method between a 5G core network subnet slice capacity requirement index and a 5G core network slice network element performance index by determining a networking mode:
s502, a core network subnet slice issues preemption information, including SLA index guarantee requirements and TA information;
s504, inquiring and acquiring an AMF network element range covered by the TA area slice;
s506, inquiring and acquiring 5G core network networking information and network topological relation;
s508, determining the SMF network element range according to the association relation of the AMF network element range and the networking N11 interface;
s510, acquiring a UPF network element range selected by the SMF according to the SMF network element range and TA information;
s512, determining the networking mode and the slice service sharing mode among the similar network elements.
In one embodiment of the present disclosure, as shown in fig. 6, the method for evaluating a network element bearer network slice service provided in the embodiment of the present disclosure may implement mapping identification between a 5G core network subnet slice capacity requirement index and a 5G core network slice network element performance index, and evaluate the feasibility of a slice service SLA service capacity index:
S602, core network sub-network slices issue key index acquisition supporting the maximum terminal number in the preemption information;
s6041, acquiring the maximum registered active user number by the key performance index of the AMF network element;
s6042, obtaining the maximum PDU session number of 5G from key performance indexes of SMF network elements;
s606, establishing a mapping relation: AMF network element registration user number, SMF network element PDU session number index, and slice maximum terminal number association mapping;
s608, a template classifying model and a labeled template man-machine command feature are used for dividing a plurality of maintenance work class mapping judgment such as major risk operation maintenance, service opening guarantee class maintenance, fault handling class maintenance, basic inspection maintenance and the like: the number of supported maximum terminals required by slicing is lower than the minimum value of AMF and SMF performance indexes;
s610, the realizability of the SLA service capacity index of the slicing service is evaluated through the performance index of the network element according to the mapping relation.
According to the relation of network element performance indexes against network element service license capacity, AMF registration user number performance indexes, SMF maximum PDU online session number and UPF overall throughput are respectively compared with 5G independent networking mode (SA) attachment user number, SMF 5G SA bearing number and UPF overall throughput. And the mapping association between the slice SLA performance requirement and the network element service capacity license is completed by using the network element performance index as an intermediate key association.
In an embodiment of the present disclosure, as shown in fig. 7, the evaluation method for a network element bearer network slice service provided in the embodiment of the present disclosure may implement the implementation flow of the mapping identification and calculation method between the user experience rate index required by the 5G core network subnet slice and the core network bandwidth by:
s702, core network subnet slicing issuing preemption information, wherein the preemption information comprises SLA index guarantee requirements, TA information and slicing scenes;
s704, obtaining the sum (Mbps) of uplink and downlink kilobyte rates forwarded by the whole machine by using a UPF network element key performance index;
s7061, the index requirement under slice scene eMBB ensures the uplink and downlink experience rate (Kbps) of the user
S7062, ensuring user experience rate (Kbps) by index requirements under slice scene uRLLC;
s708, index mapping and calculation: the eMBB scene descends the sum of the uplink and downlink rates, and the uRLLC scene refers to the single experience rate and converts the single experience rate;
s710, calculating that the maximum supported terminal number requirement of the experience rate x under different scenes is lower than the maximum throughput index of the UPF network element by the index;
s712, different from the common attention single user experience rate, the method starts from the network and the network element, and uses the network element as a unit to evaluate the satisfaction condition of the experience rate requirement of the sub-network slice.
In an embodiment of the present disclosure, as shown in fig. 8, the evaluation method for a network element bearer network slice service provided in the embodiment of the present disclosure may be implemented by mapping and identifying between a core network subnet slice SLA capacity requirement index and a network element service capacity License:
s802, the number of network elements, the networking mode and the service sharing mode are obtained by defining the range of the slice attribution AMF, SMF, UPF network element set;
s804, selecting corresponding network element capacity License according to the mapping relation between the core network sub-network slice SLA performance index and the network element performance index;
s806, inquiring service capacity License use conditions of the slice related to the network element, wherein the service capacity License use conditions comprise (information such as design capacity, used capacity, residual capacity and the like);
s808, matching the corresponding service capacity License of the network element according to the requirements of the network element range list on different SLA indexes. The method comprises the steps of carrying out a first treatment on the surface of the
S810, numerical calculation: the similar network elements confirm the statistical relationship of License values according to a networking mode;
s812, finding out the relevant value of License corresponding to the service capacity of the network element according to the network element performance index mapped by the slice SLA index;
s814, according to S810 and S812, calculating the total capacity of the capacity information (design capacity, used capacity, residual capacity) of license;
S816, comparing SLA guarantee requirements issued when the sub-network slices are preempted, and rapidly judging the bearing capacity of the core network element to the maximum service concurrency of the target sub-network slice instance according to the network element service capacity License condition in the TA range.
In full life cycle management of the slices, an operator provides a method for precisely mapping between slice capacity requirements of a 5G core network sub-network and network element capacity indexes based on the 5G core network sub-network slice capacity requirements of a core network slice sub-network management function CN-NSSMF, such as a supported maximum terminal number, user experience rates (uplink and downlink), a selected tracking area set (TA List) allowed by NSI, and position information of each network element in a 5G core network management system and network element key performance indexes.
Based on the same inventive concept, the embodiments of the present disclosure further provide an evaluation device for network element bearer network slice service, as described in the following embodiments. Since the principle of solving the problem of the embodiment of the device is similar to that of the embodiment of the method, the implementation of the embodiment of the device can be referred to the implementation of the embodiment of the method, and the repetition is omitted.
Fig. 9 is a schematic diagram of an evaluation apparatus for network element bearer network slice service in an embodiment of the disclosure, where, as shown in fig. 9, the apparatus includes: a service capacity query module 901, a licensed capacity determination module 902, a network element performance index determination module 903, a service bearer capacity determination module 904 and a networking mode acquisition module 905.
The service capacity inquiry module is used for determining the service capacity of the network element according to the networking mode of the network element; the permission capacity determining module determines the permission capacity of the network element according to a pre-established first mapping relation, wherein the first mapping relation represents the mapping relation between the network slice service level agreement SLA and the performance of the network element; the network element performance index determining module is used for determining a network element performance index according to a second mapping relation which is established in advance, wherein the second mapping relation represents a user experience index and a network slice bandwidth; and the service bearing capacity determining module is used for determining the service bearing capacity of the network element to the network slice according to the SLA issued by the network slice, the service capacity of the network element, the permission capacity of the network element and the network element performance index.
In an embodiment of the present disclosure, the device for evaluating a network element bearer network slice service further includes a networking manner obtaining module 905: the method is used for acquiring the networking mode of the network element.
In one embodiment of the present disclosure, the networking manner obtaining module 905 is further configured to: acquiring first preemption information issued by a network slice, wherein the first preemption information comprises: a tracking area TA; according to the range of the TA, obtaining an AMF network element range to which the network slice belongs; determining the SMF network element range to which the network slice belongs according to the AMF network element range; obtaining a user plane function UPF network element range to which the network slice belongs according to the SMF network element range and the TA range; and acquiring an AMF network element range, an SMF network element range and a UPF network element range to which the network slice belongs, and determining a networking mode of the network elements.
In one embodiment of the present disclosure, the network element performance index determining module 903 is further configured to: obtaining second preemption information issued by the network slice, wherein the second preemption information comprises: SLA and network slice scene; acquiring network element bandwidth, and establishing a mapping relation between SLA and the network element bandwidth to obtain a second mapping relation; and according to the network slice scene, calculating to obtain the network slice capacity meeting the second mapping relation.
Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 1000 according to such an embodiment of the present disclosure is described below with reference to fig. 10. The electronic device 1000 shown in fig. 10 is merely an example and should not be construed as limiting the functionality and scope of use of the disclosed embodiments.
As shown in fig. 10, the electronic device 1000 is embodied in the form of a general purpose computing device. Components of electronic device 1000 may include, but are not limited to: the at least one processing unit 1010, the at least one memory unit 1020, and a bus 1030 that connects the various system components, including the memory unit 1020 and the processing unit 1010.
Wherein the storage unit stores program code that is executable by the processing unit 1010 such that the processing unit 1010 performs steps according to various exemplary embodiments of the present disclosure described in the above section of the present specification.
For example, the processing unit 1010 may perform the following steps of the method embodiment described above: determining the service capacity of the network element according to the networking mode of the network element; determining the permission capacity of a network element according to a first mapping relation established in advance, wherein the first mapping relation represents the mapping relation between the network slice service level agreement SLA and the network element performance; determining a network element performance index according to a second mapping relation established in advance, wherein the second mapping relation represents the mapping relation between SLA and network element bandwidth; and determining the service bearing capacity of the network element to the network slice according to the SLA issued by the network slice, the service capacity of the network element, the permission capacity of the network element and the performance index of the network element.
The memory unit 1020 may include readable media in the form of volatile memory units such as Random Access Memory (RAM) 10201 and/or cache memory unit 10202, and may further include Read Only Memory (ROM) 10203.
The storage unit 1020 may also include a program/utility 10204 having a set (at least one) of program modules 10205, such program modules 10205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 1030 may be representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 1000 can also communicate with one or more external devices 1040 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 1000, and/or with any device (e.g., router, modem, etc.) that enables the electronic device 1000 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 1050. Also, electronic device 1000 can communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 1060. As shown, the network adapter 1060 communicates with other modules of the electronic device 1000 over the bus 1030. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with the electronic device 1000, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, a computer-readable storage medium, which may be a readable signal medium or a readable storage medium, is also provided. On which a program product is stored which enables the implementation of the method described above of the present disclosure. In some possible implementations, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on the terminal device.
More specific examples of the computer readable storage medium in the present disclosure may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
In this disclosure, a computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Alternatively, the program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
In particular implementations, the program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Furthermore, although the steps of the methods in the present disclosure are depicted in a particular order in the drawings, this does not require or imply that the steps must be performed in that particular order or that all illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
From the description of the above embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a mobile terminal, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims (11)

1. The method for evaluating the network element bearing network slicing service is characterized by comprising the following steps:
determining the service capacity of a network element according to the networking mode of the network element;
determining the permission capacity of the network element according to a first mapping relation established in advance, wherein the first mapping relation represents the mapping relation between the network slice service level agreement SLA and the network element performance;
determining a network element performance index according to a second mapping relation established in advance, wherein the second mapping relation represents the mapping relation between SLA and network element bandwidth;
determining the service bearing capacity of the network element to the network slice according to the SLA issued by the network slice, the service capacity of the network element, the permission capacity of the network element and the performance index of the network element;
wherein, the determining the licensed capacity of the network element according to the first mapping relation established in advance includes: according to the mapping relation between SLA and network element performance, finding the corresponding permission capacity of the network element relative to the network element capacity;
the determining the network element performance index according to the second mapping relation established in advance comprises: acquiring SLA, network slice scene and network element bandwidth; establishing a mapping relation between the SLA and the network element bandwidth to obtain a second mapping relation; according to the network slice scene, calculating to obtain a network element performance index meeting a second mapping relation;
The determining the service carrying capacity of the network element to the network slice according to the SLA issued by the network slice, the service capacity of the network element, the permission capacity of the network element and the performance index of the network element comprises: and comparing the SLA guarantee requirements issued when the network slice is preempted, and determining the service bearing capacity of the network element for the network slice according to the design capacity, the used capacity and the residual capacity in the permitted capacity of the network element.
2. The method for evaluating network element bearer network slicing service according to claim 1, wherein before determining the service capacity of the network element according to the networking manner of the network element, the method further comprises:
and obtaining a networking mode of the network element.
3. The method for evaluating a network element bearer network slicing service according to claim 2, wherein obtaining a networking manner of the network element comprises:
acquiring first preemption information issued by a network slice, wherein the first preemption information comprises: a tracking area TA;
according to the range of the TA, an AMF network element range to which the network slice belongs is obtained;
determining the SMF network element range to which the network slice belongs according to the AMF network element range;
obtaining a user plane function UPF network element range to which the network slice belongs according to the SMF network element range and the TA range;
And acquiring the AMF network element range, the SMF network element range and the UPF network element range to which the network slice belongs, and determining a networking mode of the network element.
4. The method for evaluating a network element bearer network slicing service according to claim 1, wherein the pre-established first mapping relationship comprises:
acquiring first preemption information issued by a network slice, wherein the first preemption information comprises performance information of the network slice and the maximum number of terminals carried by the network slice;
performing association mapping on the performance information and the maximum terminal number borne by the network slice, and establishing a mapping relation between a network slice service level agreement SLA and network element performance to obtain a pre-established first mapping relation;
wherein, performing association mapping on the performance information and the maximum number of terminals carried by the network slice, and establishing a mapping relationship between the network slice service level agreement SLA and the network element performance comprises: mapping the network element performance index in the performance information to the maximum terminal number index borne by the network slice, converting the evaluation of the SLA capacity requirement index into the evaluation of the performance index of the network element, and establishing the mapping relation between the network slice service level agreement SLA and the network element performance.
5. The method for evaluating network element bearer network slicing service according to claim 4, wherein said performance information comprises:
the maximum registered active user number of the authentication management function AMF network element and the maximum protocol data unit PDU session number of the service management function SMF network element.
6. The method for evaluating a network element bearer network slicing service according to claim 1, wherein determining the network element performance index according to the second mapping relation established in advance comprises:
obtaining second preemption information issued by the network slice, wherein the second preemption information comprises: SLA and network slice scene;
acquiring network element bandwidth, and establishing a mapping relation between the SLA and the network element bandwidth to obtain a second mapping relation;
and according to the network slice scene, calculating to obtain the network element performance index meeting the second mapping relation.
7. The method for evaluating network element bearer network slicing traffic of claim 6, wherein obtaining the network element bandwidth comprises:
and obtaining the sum of uplink kilobyte rate and downlink kilobyte rate forwarded by the UPF network element, and determining the bandwidth of the network element.
8. The method for evaluating network element bearer network slicing service according to claim 7, wherein the network slicing scene is any one of the following:
The mobile broadband scene eMBB, the ultra-high reliability and low-delay communication scene uRLLC are enhanced.
9. An evaluation device for network element bearer network slice service, comprising:
the service capacity inquiry module is used for determining the service capacity of the network element according to the networking mode of the network element;
the permission capacity determining module determines the permission capacity of the network element according to a first mapping relation which is established in advance, wherein the first mapping relation represents the mapping relation between the network slice service level agreement SLA and the network element performance;
the network element performance index determining module is used for determining a network element performance index according to a second mapping relation which is established in advance, wherein the second mapping relation represents a mapping relation between a user experience index and a network slice bandwidth;
the service bearing capacity determining module is used for determining the service bearing capacity of the network element to the network slice according to the SLA issued by the network slice, the service capacity of the network element, the permission capacity of the network element and the network element performance index;
wherein, the determining the licensed capacity of the network element according to the first mapping relation established in advance includes: according to the mapping relation between SLA and network element performance, finding the corresponding permission capacity of the network element relative to the network element capacity;
The determining the network element performance index according to the second mapping relation established in advance comprises: acquiring SLA, network slice scene and network element bandwidth; establishing a mapping relation between the SLA and the network element bandwidth to obtain a second mapping relation; according to the network slice scene, calculating to obtain a network element performance index meeting a second mapping relation;
the determining the service carrying capacity of the network element to the network slice according to the SLA issued by the network slice, the service capacity of the network element, the permission capacity of the network element and the performance index of the network element comprises: and comparing the SLA guarantee requirements issued when the network slice is preempted, and determining the service bearing capacity of the network element for the network slice according to the design capacity, the used capacity and the residual capacity in the permitted capacity of the network element.
10. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of evaluating network element bearer network slice traffic of any of claims 1 to 8 via execution of the executable instructions.
11. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the method for evaluating network element bearer network slicing traffic according to any of claims 1 to 8.
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