CN112838942A - Network operation and maintenance method, electronic equipment and storage medium - Google Patents
Network operation and maintenance method, electronic equipment and storage medium Download PDFInfo
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- H—ELECTRICITY
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5003—Managing SLA; Interaction between SLA and QoS
- H04L41/5009—Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
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- H—ELECTRICITY
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- 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
Abstract
The embodiment of the invention relates to the field of communication, and discloses a network operation and maintenance method, electronic equipment and a computer storage medium. In the network operation and maintenance method, the service level agreement SLA index of the network slice is monitored, the SLA index with abnormal monitoring value is identified, the root index with abnormal monitoring value, which is the performance index of the virtual network function VNF module influencing the SLA index in the network slice, is obtained, the root index with abnormal monitoring value is screened out from the root index with abnormal monitoring value, and the network slice is optimized according to the root index with abnormal monitoring value. The invention can realize the intelligent optimization of the network slice, namely, the intelligent network operation and maintenance is realized, and the quality of the network is ensured.
Description
Technical Field
The embodiment of the invention relates to the field of communication, in particular to a network operation and maintenance method, electronic equipment and a storage medium.
Background
In order to make the network system operate normally, we need to perform network operation and maintenance. In a traditional network, because faults are often caused by special equipment, the special equipment can be fed back quickly in a fault alarm mode, and operation and maintenance personnel operate and maintain by taking the alarm as a core, so that the normal operation of a network system is guaranteed. With the development of the fifth Generation mobile communication technology (5th-Generation, abbreviated as 5G), network slices play a key technology that allows operators to cut a single physical infrastructure into multiple virtual end-to-end networks, each network slice can obtain logically independent network resources, and the network slices can be isolated from each other. That is, virtual network functions in a 5G network replace dedicated devices in a conventional network, and network failures are generally no longer failures of real physical hardware.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art: because the fault in the 5G network is usually no longer the fault of the real physical hardware, the traditional network operation and maintenance method is no longer suitable for the 5G network, and it is difficult to ensure the normal operation of the 5G network system by using the traditional network operation and maintenance method.
Disclosure of Invention
The embodiment of the invention aims to provide a network operation and maintenance method, electronic equipment and a storage medium, which can intelligently optimize the performance of a network slice and ensure the network quality.
In order to solve the above technical problem, an embodiment of the present invention provides a network operation and maintenance method, including: monitoring the service level agreement SLA index of the network slice, identifying the SLA index with an abnormal monitoring value, acquiring the root index of the SLA index with the abnormal monitoring value, wherein the root index is the performance index of a virtual network function VNF module which has an influence on the SLA index in the network slice, screening the root index with the abnormal monitoring value from the root index of the SLA index with the abnormal monitoring value, and optimizing the network slice according to the root index with the abnormal monitoring value.
An embodiment of the present invention further provides an electronic device, including: the system includes at least one processor, and a memory communicatively coupled to the at least one processor. The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the network operation and maintenance method.
The embodiment of the invention also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the network operation and maintenance method is implemented.
Compared with the prior art, the method and the device for optimizing the network slice have the advantages that the SLA indexes of the network slice are monitored, the root indexes with abnormal monitoring values are screened out from the root indexes with abnormal monitoring values, and the network slice is optimized according to the root indexes with abnormal monitoring values. Namely, the embodiment of the invention automatically screens out the root index of which the monitoring value is abnormal, and operation and maintenance personnel do not need to analyze the SLA index, so that data analysis is intelligent, intelligent optimization of network slices is realized, and the quality of the network is ensured.
In addition, acquiring the root index of the SLA index with an abnormal monitoring value comprises the following steps: and acquiring the root index of the SLA index with abnormal monitoring value according to the corresponding relation between the SLA index and the root index which is acquired in advance. The embodiment provides a specific way for quickly obtaining the root index of the SLA index with abnormal monitoring value.
In addition, the pre-acquisition mode of the corresponding relation between the SLA index and the root index is as follows: and analyzing the performance model adopted in the network slice operation process to obtain the corresponding relation between the SLA index and the root index. The embodiment provides a method for obtaining the corresponding relationship between the SLA index and the root index, and the obtained corresponding relationship between the SLA index and the root index can reflect the influence relationship among the indexes under the service scene of the network slice more truly, so that the abnormal root in the network slice can be conveniently and accurately found.
In addition, the monitoring value of the root index is abnormal, which means that the monitoring value of the root index is not in the normal value range of the root index; the normal value range of the root index is preset in the following way: obtaining a plurality of historical positive samples of the SLA index, wherein each historical positive sample comprises a normal historical monitoring value of the SLA index and a historical monitoring value of the root index under the normal condition of the SLA index, and setting a normal value range of the root index according to the historical monitoring value of the root index in the plurality of historical positive samples. The embodiment provides a mode for screening the root index with the abnormal monitoring value, and the normal value range of the root index is analyzed by using the historical positive sample, so that the finally set normal value range accords with the actual situation.
In addition, a normal value range of the root index is set according to historical monitoring values of the root index in a plurality of historical positive samples of the SLA index, if a plurality of SLA indexes are provided, the normal value range of the root index under each SLA index is determined according to the historical monitoring values of the root index in a plurality of historical samples of each SLA index, and for each root index, the intersection of the normal value ranges of the root index under each SLA index is set as the normal value range of the root index. The embodiment provides an optimization mode for the normal value range of the root index under the condition that the same root index affects a plurality of SLA indexes.
In addition, optimizing the network slice according to the root index of which the monitoring value is abnormal comprises the following steps: if the monitoring value is abnormal, analyzing the influence degree of the abnormal root index on the SLA index with the abnormal monitoring value, selecting the abnormal root index with the monitoring value with the influence degree meeting the preset condition as the root index to be adjusted, and optimizing the network slice based on the monitoring value of the abnormal root index to be adjusted. In the embodiment, the root index which has the largest influence on the SLA index is determined according to the weight from a plurality of root indexes with abnormal monitoring values, and is used as the root index to be adjusted; compared with the method that each root index with abnormal monitoring value optimizes the network slice, the optimization speed is higher, and the optimization accuracy is high due to the fact that the root index with the largest influence on the SLA index is selected; i.e. to make the optimization of the network slice fast and accurate.
In addition, the influence degree is characterized by the weight of the root index to the SLA index, the influence degree of the root index with abnormal monitoring values to the SLA index with abnormal monitoring values is analyzed, and the root index with the abnormal monitoring value and the influence degree meeting the preset conditions is selected as the root index to be adjusted, and the method comprises the following steps: and acquiring the weight of the root index with the abnormal monitoring values to the SLA index with the abnormal monitoring values, and selecting the root index with the maximum monitoring value as the abnormal root index to be adjusted. In this embodiment, the root index with the monitoring value with the largest weight being abnormal is used as the root index to be adjusted, and the root index that most affects the SLA index with the monitoring value being abnormal can be screened out, so that the basis for optimizing the network slice is more reliable.
In addition, acquiring the weight of the root index with the abnormal monitoring values to the SLA index with the abnormal monitoring values, and selecting the root index with the abnormal monitoring value with the maximum weight as the root index to be adjusted, includes: and acquiring the weights of the plurality of root indexes with abnormal monitoring values to the SLA indexes with abnormal monitoring values according to the corresponding relation between the root indexes and the weights of the root indexes to the SLA indexes, and selecting the root index with the maximum weight and the abnormal monitoring value as the root index to be adjusted. The embodiment provides a way of quickly obtaining the weight of the root index with abnormal monitoring value to the SLA index with abnormal monitoring value.
In addition, the correspondence relationship between the root index and the weight of the root index to the SLA index is obtained by: obtaining a plurality of historical samples of the SLA index, wherein each historical sample comprises a historical monitoring value of the SLA index and a historical monitoring value of a root index of the SLA index, and obtaining a corresponding relation between the root index and the weight according to the plurality of historical samples of the SLA index. The embodiment provides a way of intelligently obtaining the corresponding relationship between the root cause index and the weight of the root cause index to the SLA index.
In addition, optimizing the network slice according to the root index of which the monitoring value is abnormal comprises the following steps: and generating an operation instruction for the target VNF module according to the monitoring value as the abnormal root index. And the root index of which the monitoring value is abnormal is the performance index of the target VNF module. And if a plurality of same operation instructions for the target VNF module exist in the first time window, performing function adjustment on the target VNF module according to one of the operation instructions. In this embodiment, if a plurality of identical operation instructions for the target VNF module exist in the first time window, one of the operation instructions is selected to perform the function adjustment on the target VNF module, and compared with a case where all the generated operation instructions are applied to the target VNF module, the case where unnecessary operation instructions affect the optimization of the network slice can be avoided, and overhead in resource adjustment and parameter configuration can be reduced.
In addition, optimizing the network slice according to the root index of which the monitoring value is abnormal comprises the following steps: and generating an operation instruction for the target VNF module according to the monitoring value as the abnormal root index. And the root index of which the monitoring value is abnormal is the performance index of the target VNF module. And if two opposite operation instructions for the target VNF module exist in the second time window, selecting one of the operation instructions to perform function adjustment on the target VNF module. The two opposite operation instructions are two operation instructions which have opposite effects on the function adjustment of the target VNF module. In this embodiment, if two opposite operation instructions for the target VNF module exist in the second time window, one of the operation instructions is selected to perform the function adjustment on the target VNF module, and compared with the case where all the generated operation instructions are applied to the target VNF module, the case where unnecessary operation instructions affect the optimization of the network slice can be avoided, and overhead on resource adjustment and parameter configuration can be reduced.
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One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
Fig. 1 is a flowchart of a network operation and maintenance method according to a first embodiment of the present invention;
FIG. 2 is a diagram of the first embodiment of the present invention for orchestrating the definition of slices and SLA metrics;
FIG. 3 is a diagram showing an index relationship diagram according to the first embodiment of the present invention;
FIG. 4 is a flowchart of a network operation and maintenance method according to a second embodiment of the present invention;
FIG. 5 is a flowchart of a network operation and maintenance method according to a third embodiment of the present invention;
FIG. 6 is a flowchart of a network operation and maintenance method according to a fourth embodiment of the present invention;
FIG. 7 is a flowchart of a network operation and maintenance method according to a fifth embodiment of the present invention;
fig. 8 is another flowchart of a network operation and maintenance method according to a fifth embodiment of the present invention;
fig. 9 is a schematic structural diagram of an electronic device in a sixth embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that in various embodiments of the invention, numerous technical details are set forth in order to provide a better understanding of the present application. However, the technical solution claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments. The following embodiments are divided for convenience of description, and should not constitute any limitation to the specific implementation manner of the present invention, and the embodiments may be mutually incorporated and referred to without contradiction.
The first embodiment of the present invention relates to a network operation and maintenance method, which can be applied to a server, such as: the server is not limited herein. In this embodiment, the server identifies that the monitoring value of the network slice is an abnormal SLA index, obtains a root index of the abnormal SLA index, then screens out the root index of the abnormal SLA index, and optimizes the network slice according to the root index of the abnormal SLA index.
The following describes implementation details of the network operation and maintenance method of the present embodiment in detail, and the following is only provided for facilitating understanding of the implementation details and is not necessary for implementing the present embodiment. The specific process is shown in fig. 1, and comprises the following steps:
In one particular example, the server may monitor SLA metrics for the network slice at one time and store the monitored SLA metrics for later analysis as needed. The SLA index includes a delay, a throughput, a number of users, and the like, which is not limited herein. During monitoring, the server may identify the SLA index with an abnormal monitoring value. Wherein, the standard of judging whether the monitoring value of SLA index is unusual can be set up according to actual conditions, for example: and setting an early warning threshold value for the SLA index, and if the monitoring value of the SLA index exceeds the early warning threshold value, the server can judge that the monitoring value is the abnormal SLA index. It should be noted that, in practical application, different early warning thresholds may be set for different SLA indexes.
And 102, acquiring the root index of the SLA index with the abnormal monitoring value.
In a specific example, the root index may refer to a performance index of the virtual network function VNF module in the network slice that has an impact on the SLA index, that is, the root index may impact the SLA index. Assuming that the SLA index refers to time delay, correspondingly, the root index of the SLA index with abnormal monitoring value may also be time delay.
In a specific example, the server obtains a root index of the SLA index with an abnormal monitoring value according to a pre-obtained correspondence between the SLA index and the root index. The pre-acquisition mode of the corresponding relation between the SLA index and the root index can be obtained by analyzing a performance model adopted in the network slice by the server. When the network slices are managed and arranged, operation and maintenance personnel can select a proper communication service type and a template corresponding to the communication service type according to the service requirement, wherein the template comprises all performance models related to the service, and SLA index quality requirements, early warning threshold values, calculation formulas and the like of the network slices are arranged on the performance models. Wherein the communication service types include: enhanced Mobile Broadband (eMBB) Communication, Ultra Reliable Low Latency Communication (urlclc), mass Machine Type Communication (mtc), and the like, without limitation. In addition, each network slice includes at least a wireless sub-slice, a bearer sub-slice, and a core network sub-slice to adapt to various types of services and applications. As shown in fig. 2, the deployment definition slice and the SLA index are used, and the communication service type selected by the operation and maintenance staff according to the service requirement is the eMBB type, so that the corresponding network slice type is also the eMBB type. Taking the time delay in the SLA index as an example, the quality requirement set in fig. 2 is less than 10ms, the early warning threshold is not less than 8ms, and the calculation formula is [ core network sub-slice ] [ time delay ] + [ wireless sub-slice ] [ time delay ] + [ bearing network sub-slice ] [ time delay ]. It should be noted that the SLA index quality requirement, the early warning threshold, the calculation formula, and the like of the network slice may be set according to actual situations, and the above are only examples. After the service is opened, in the process of operation and maintenance of the network slice, the server can acquire information related to the performance model of the network slice and all resource levels below the network slice, and find the corresponding relation between the SLA index and the root index according to the acquired information. In practical applications, the corresponding relationship between the SLA index and the root cause index can be represented by an index relationship diagram, for example, in the index relationship diagram of fig. 3, the network slice is an eMBB type, and the SLA index is a time delay.
And 103, screening the root indexes with abnormal monitoring values from the root indexes with abnormal SLA indexes.
In a specific example, if the server monitors that the monitoring value of the SLA index is abnormal, a root index influencing the SLA index can be found according to the SLA index, and then the server screens all the obtained root indexes to obtain the root index with the abnormal monitoring value. The fact that the monitoring value of the root index is abnormal can mean that the monitoring value of the root index is not in the normal value range of the root index. The normal value range of the root index can be preset in the following modes: the server obtains a plurality of historical positive samples of SLA indexes; each historical positive sample comprises a normal historical monitoring value of the SLA index and a historical monitoring value of a root index under the normal condition of the SLA index; after the server acquires the historical positive samples, the server sets the normal value range of the root index according to the historical monitoring values of the root index in the plurality of historical positive samples. Preferably, if the number of the SLA indexes is multiple, the server determines the normal value range of the root index under each SLA index according to the historical monitoring value of the root index in the historical sample, and for each root index, the server sets the intersection of the normal value ranges of the root index under each SLA index as the normal value range of the root index; by means of the method, the screening range is reduced, and the monitoring value can be screened out more accurately as the abnormal root index. After the normal value range of the root index is set, the server can screen out the root index of which the monitoring value is not in the normal value range from the root index of the SLA index of which the monitoring value is abnormal.
In a specific example, after finding the root index of the SLA index with an abnormal monitoring value according to the index relation graph, the server screens out the root index with the abnormal monitoring value, that is, the root index causing the problem of abnormal monitoring value of the SLA index is located. The embodiment performs reverse analysis and positioning on the root index causing the problem, namely, the root index of the SLA index with the abnormal monitoring value is found first, and then the root index with the abnormal monitoring value is screened out, so that the efficiency of positioning the root index causing the problem is improved, and the cost of network operation and maintenance can be reduced.
And 104, optimizing the network slice according to the root index with the monitoring value as the abnormity.
In a specific example, it is assumed that the server screens out the root-cause index with the abnormal monitoring value from the root-cause indexes with the abnormal monitoring value of the SLA indexes, and since the root-cause index refers to a performance index of a virtual network function VNF module in a network slice, which affects the SLA index, the server can be positioned to the corresponding VNF module according to the root-cause index with the abnormal monitoring value. Further, the server analyzes and judges the system type of the VNF module, and optimizes the network slice according to the system type. The System type includes a Management and organization (MANO) System, an Element Management System (EMS) System, and the like, which is not limited herein. If the VNF module is managed by the MANO system, since the Function of the VNF module is implemented by a plurality of virtualized Network Function module components (VNFCs), the related system may allocate the VNFCs, for example: the number of VNFCs is increased or decreased, and is not limited herein. If the VNF module is managed by the EMS, the relevant system may make adjustments to configuration parameters, such as: the device configuration is lowered, and is not limited herein. That is, in this embodiment, the network slice is optimized for different management systems according to the monitoring value as the root index of the anomaly, so as to improve or reduce the service carrying capacity of the VNF module, thereby improving the network quality or releasing idle resources.
In this embodiment, the server monitors the SLA index of the network slice, automatically analyzes and obtains a root index of the SLA index whose monitoring value is abnormal, so as to find the root index affecting the SLA index whose monitoring value is abnormal. And then screening the root index with the abnormal monitoring value from the root index with the abnormal SLA index, thereby intelligently positioning the root index causing the problem of abnormal SLA index monitoring value and finally optimizing the network slice. The embodiment realizes intelligent optimization of the network slice, namely, intelligent network operation and maintenance, and can ensure the network quality.
A second embodiment of the present invention relates to a network operation and maintenance method. The second embodiment is substantially the same as the first embodiment, with the main differences being: a second embodiment of the present invention provides a specific way for optimizing a network slice according to a root index whose monitored value is abnormal, that is, selecting a root index whose monitored value meets a preset condition with an abnormal influence degree from a plurality of root indexes whose monitored values are abnormal as a root index to be adjusted, and finally optimizing the network slice based on the monitored value of the root index to be adjusted.
The following describes implementation details of the network operation and maintenance method of the present embodiment in detail, and the following is only provided for facilitating understanding of the implementation details and is not necessary for implementing the present embodiment. The specific process is shown in fig. 4, and includes:
And step 402, acquiring the root index of the SLA index with the abnormal monitoring value. Similar to step 102, further description is omitted here.
And step 403, screening the root index with the abnormal monitoring value from the root index with the abnormal SLA index. Similar to step 103, further description is omitted here.
It should be noted that the following steps 404 and 405 may be taken as specific implementations of step 104.
And step 404, if the monitoring value is abnormal, analyzing the influence degree of the abnormal root index on the SLA index with the monitoring value, and selecting the abnormal root index with the monitoring value, the influence degree of which meets the preset condition, as the root index to be adjusted.
In one particular example, the degree of influence may be characterized as a weight of the root index to the SLA index. The server can find the weight of the root index with abnormal monitoring value to the SLA index with abnormal monitoring value according to the corresponding relation between the root index and the weight of the root index to the SLA index, and the root index with the maximum monitoring value as the abnormal monitoring value is used as the root index to be adjusted. The method comprises the following steps of obtaining the weight of the SLA index according to the root index and the corresponding relation between the root index and the weight of the SLA index: the server obtains the corresponding relation according to the monitored historical sample of the SLA index, namely the historical monitoring value of the SLA index and the historical monitoring value of the root index thereof.
And 405, optimizing the network slice based on the monitoring value of the root index to be adjusted.
In a specific example, assuming that there is a root index with the maximum weight and the monitoring value is abnormal, the server may locate the VNF module corresponding to the root index to be adjusted. Further, the server may analyze the system managing the VNF module and optimize the network slice in connection with the system type. The system types include a MANO system, an EMS, and the like, which are not described herein again. The specific example of the method step 104 for optimizing the network slice with specific combination of the system type is described, and is not described herein again.
In this embodiment, if the plurality of root indicators with abnormal monitoring values are provided, the server analyzes the influence degree of the plurality of root indicators with abnormal monitoring values on the SLA indicators with abnormal monitoring values, selects the root indicator with abnormal monitoring values whose influence degree satisfies the preset condition as the root indicator to be adjusted, and finally optimizes the network slice based on the monitoring value of the root indicator to be adjusted. The embodiment carries out reverse analysis and positioning to the root index which causes the problem, improves the efficiency of the root index which causes the problem, and particularly, when a plurality of monitoring values are abnormal root indexes, the most main root index can be quickly positioned, so that the network slice can be intelligently and accurately optimized, and the intelligent network operation and maintenance can be realized.
The third embodiment of the invention relates to a network operation and maintenance method. The third embodiment is substantially the same as the first embodiment, with the main differences being: in a third embodiment of the present invention, after the root cause index with an abnormal monitoring value is screened from the root cause indexes with SLA indexes with abnormal monitoring values, the server generates an operation instruction for the target VNF module according to the root cause index with an abnormal monitoring value. And the root index of which the monitoring value is abnormal is the performance index of the target VNF module. And if a plurality of same operation instructions for the target VNF module exist in the first time window, performing function adjustment on the target VNF module according to one of the operation instructions.
The following describes implementation details of the network operation and maintenance method of the present embodiment in detail, and the following is only provided for facilitating understanding of the implementation details and is not necessary for implementing the present embodiment. The specific process is shown in fig. 5, and includes:
It should be noted that step 504 and step 505 described below can be implemented as specific implementations of step 104.
And step 504, generating an operation instruction for the target VNF module according to the abnormal root index of the monitoring value.
In a specific example, the root indicator that the monitored value is abnormal may be a performance indicator of the target VNF module. And if the monitoring value of the root index of the SLA index with the abnormal monitoring value is not in the normal value range of the root index, the server takes the monitoring value as the abnormal root index. Since the root index refers to a performance index of the VNF module that affects the SLA index, the server may find a corresponding target VNF module according to the monitoring value as the abnormal root index, and generate an operation instruction for the target VNF module.
In step 505, if there are multiple identical operation instructions for the target VNF module in the first time window, the function of the target VNF module is adjusted according to one of the operation instructions.
In a specific example, assuming that the server finally locates to the same target VNF module according to the SLA indexes with abnormal monitored values, and generates operation instructions for reducing the device configuration parameters of the target VNF module at different time points within the first time window 1s, the server may select one operation instruction from the same operation instructions to send to the relevant system, so as to perform an action of reducing the device configuration parameters. It should be noted that, in this example, the first time window is 1s, but in practical applications, the server may locate the same target VNF module according to a plurality of SLA indicators whose monitored values are abnormal, and generate a plurality of identical operation instructions for the target VNF module at the same time point, and then the server may select one operation instruction from the identical operation instructions to perform an action of reducing the device configuration parameter.
In a specific example, assuming that the server finally locates to the same target VNF module according to the SLA index with the same monitored value being abnormal, and generates a plurality of operation instructions for reducing the device configuration parameters of the target VNF module at different time points within the first time window 1s, the server may select one operation instruction from the same operation instructions to send to the relevant system, so as to perform an action of reducing the device configuration parameters. In this embodiment, the network slice is optimized by generating an operation instruction. And if a plurality of same operation instructions exist for the target VNF module in the first time window, the server selects one of the operation instructions to perform function adjustment on the target VNF module. Since the same operation instruction for the same target VNF module is generated in the first time window, only one operation instruction may be selected to act on the target VNF module, and unnecessary operation instructions may be prevented from affecting optimization of the network slice, for example: in the first time window, when an operation instruction is executed by a certain VNF module, the same operation instruction is received, and the same operation instruction may be considered as an operation instruction that is not to be executed, that is, because an operation instruction that is not to be executed is generated in the network operation and maintenance process, the overhead of network operation and maintenance may be increased in the above situation, and the embodiment may implement intelligent network operation and maintenance.
The fourth embodiment of the invention relates to a network operation and maintenance method. The fourth embodiment is substantially the same as the third embodiment, with the main differences being: in a fourth embodiment of the present invention, after the server generates an operation instruction for the target VNF module according to the root index of which the monitored value is abnormal, if two kinds of relative operation instructions for the target VNF module exist in the second time window, one of the two kinds of operation instructions is selected to perform function adjustment on the target VNF module.
The following describes implementation details of the network operation and maintenance method of the present embodiment in detail, and the following is only provided for facilitating understanding of the implementation details and is not necessary for implementing the present embodiment. The specific process is shown in fig. 6, and includes:
And step 604, generating an operation instruction for the target VNF module according to the abnormal root index of the monitoring value. Similar to step 504, further description is omitted here.
In step 605, if two kinds of relative operation instructions for the target VNF module exist in the second time window, one of the two kinds of operation instructions is selected to perform function adjustment on the target VNF module.
In a specific example, the two opposite operation instructions may refer to two operation instructions that have opposite effects on the function adjustment of the target VNF module, and the second time window may refer to an operation and maintenance cycle. Assume that A, B two operation instructions for the target VNF module are generated in operation and maintenance cycle 1 s. If the operation instruction a represents increasing the number of VNFCs and the operation instruction B represents decreasing the number of VNFCs, the server may select the operation instruction a or B to perform functional adjustment on the target VNF module, that is, increase the number of VNFCs or decrease the number of VNFCs, so as to optimize the relative operation instructions generated in the operation and maintenance cycle. It should be noted that the objects of increase and decrease are the same VNFC, that is, assuming that the operation instruction a indicates increasing VNFC-a, the operation instruction B indicates decreasing VNFC-a. More preferably, when the operation command is selected, it is ensured that increasing the number of VNFCs is prior to decreasing the number of VNFCs, so that the situation that the number of VNFCs is decreased and then increased, that is, the resource is periodically changed, can be avoided as much as possible, power consumption of resource allocation in the operation and maintenance process of the intelligent network can be reduced, and resource reuse degree can be improved.
In this embodiment, if two opposite operation instructions of the target VNF module exist in the second time window, the server selects one of the operation instructions to perform function adjustment on the target VNF module, so that it is possible to avoid that an unnecessary operation instruction affects optimization of a network slice, that is, to avoid a situation that the VNF module in the second time window receives the opposite operation instruction when executing a certain operation instruction, thereby implementing intelligent network operation and maintenance.
A fifth embodiment of the present invention relates to a network operation and maintenance method. The fifth embodiment is substantially the same as the third embodiment, with the main differences being: in a fifth embodiment of the present invention, if multiple identical operation instructions for the target VNF module exist in the first time window, the server selects one of the operation instructions, and detects whether two opposite operation instructions for the target VNF module exist in the second time window, and if two opposite operation instructions for the target VNF module exist, selects one of the operation instructions to perform function adjustment on the target VNF module, where the second time window is greater than or equal to the first time window.
The following describes implementation details of the network operation and maintenance method of the present embodiment in detail, and the following is only provided for facilitating understanding of the implementation details and is not necessary for implementing the present embodiment. The specific process is shown in fig. 7, and includes:
And 703, screening the root indexes with abnormal monitoring values from the root indexes with abnormal SLA indexes. Similar to step 103, further description is omitted here.
And step 704, generating an operation instruction for the target VNF module according to the abnormal root index of the monitoring value. Similar to step 504, further description is omitted here.
In a specific example, assume that there is an operation instruction for the target VNF module within a first time window: a1, A2 and B, wherein A1 and A2 are the same operation commands, such as: the number of VNFCs is increased, and it is not limited herein, and it should be noted that a1 and a2 are the same VNFCs. When the server detects that the same operation commands A1 and A2 exist, step 706 is entered.
In a specific example, assume that there are mutually different operational instructions to the target VNF module within the first time window: A. b, C, such as: the operation instruction a indicates increasing the number of VNFCs, the operation instruction B indicates decreasing the number of VNFCs, and the operation instruction C indicates decreasing the device configuration parameters. In this case, step 705 ends and proceeds to step 707.
At step 706, an operation instruction is selected from the plurality of identical operation instructions. After step 706, the process proceeds to step 707.
In a specific example, assume that there is an operation instruction for the target VNF module within a first time window: a1, A2 and B, wherein A1 and A2 are the same operation commands, such as: both represent increasing numbers of VNFCs and are not limited herein. In this case, the server selects the operation A1 or A2 from the operation A1 or A2 and proceeds to step 707.
In step 707, it is determined whether there are two opposite operation commands to the target VNF module within the second time window. If there are two opposite operation commands to the target VNF module within the second time window, go to step 708; otherwise, step 709 is entered.
In one particular example, the second time window may be greater than or equal to the first time window. The two opposite operation instructions may refer to two operation instructions that have a negative effect on the functional adjustment of the target VNF module. Assuming that there is an operation instruction to the target VNF module within the second time window: a1, A2 and B, wherein A1 and A2 are the same operation commands, such as: both indicate increasing the number of VNFCs, B is an operation instruction relative to a1 and a2, such as: indicating that the number of VNFCs is reduced, i.e. there are two opposite operating instructions to the target VNF module within the second time window, then step 707 proceeds to step 708 after finishing. It should be noted that, a1 and a2 represent the same VNFC is added, and two opposite operation instructions, for example, the operation instructions a1 and B, assume that the operation instruction a1 represents the VNFC-a is added, and then the operation instruction B represents the VNFC-a is decreased.
In a specific example, assume that there is an operation instruction to the target VNF module within the second time window: a1 and a2, where a1 and a2 are the same operation command, that is, there are no two opposite operation commands to the target VNF module in the second time window, then step 709 is entered after step 707 is finished.
In step 708, one of the operation instructions is selected to perform a function adjustment on the target VNF module.
In a specific example, assume that there is an operation instruction to the target VNF module within the second time window: a1, a2, B1 and B2, wherein a1 and a2, B1 and B2 are the same operation instructions, respectively, and a1 and a2 represent class a operation instructions, such as: indicating an increase in the number of VNFCs, B1 and B2 indicate class B operation instructions, such as: indicating a reduction in the number of VNFCs. In addition, the class a operation instruction and the class B operation instruction are two opposite operation instructions, and then the server selects one of the class a operation instructions or one of the class B operation instructions to perform function adjustment on the target VNF module, that is, to increase the number of VNFCs or decrease the number of VNFCs.
And step 709, performing function adjustment on the target VNF module according to the operation instruction.
In a specific example, assume that there is an operation instruction to the target VNF module within the second time window: a1, BC1, a1 and C1 represent different operation instructions and are not relative operation instructions, the server makes functional adjustments to the target VNF module according to the operation instructions a1 and C1. It should be noted that, in this embodiment, it is determined whether there are multiple identical operation instructions for the target VNF module in the first time window, and then it is determined whether there are corresponding operation instructions for the target VNF module in the second time window, so that the second time window may be greater than or equal to the first time window, but in practical applications, the determination sequence may also be adjusted, that is, it is determined whether there are two corresponding operation instructions for the target VNF module in the second time window, and then it is determined whether there are multiple identical operation instructions for the target VNF module in the first time window, so that the first time window may be greater than or equal to the second time window. In this case, after the server executes steps 701 to 704, as shown in fig. 8, the following steps are started to be executed:
in step 805, it is determined whether there are two opposite operation commands for the target VNF module within the second time window. If there are two opposite operation instructions for the target VNF module within the second time window, go to step 806; otherwise, go to step 807. Similar to step 707, it is not described herein.
At step 806, an operation instruction is selected from two opposite operation instructions. After step 806 ends, the process proceeds to step 807.
In a specific example, assume that there is an operation instruction to the target VNF module within the second time window: a1, B, wherein a1 may indicate increasing the number of VNFCs, not limited herein. Further, the operation instruction B and the operation instruction a1 are relative operation instructions, such as: indicating a reduction in the number of VNFCs. In this case, the server selects an operation instruction from the operation instructions a1 and B, and proceeds to step 707.
In step 807, it is determined whether there are multiple identical operating instructions to the target VNF module within the first time window. If there are multiple identical operation instructions for the target VNF module within the first time window, go to step 808; otherwise, step 809 is entered. Similar to step 705, it is not described herein.
In a specific example, assume that there is an operation instruction to the target VNF module within the second time window: a1 and A2, wherein A1 and A2 are the same operation commands, such as: both represent an increase in the number of VNFCs. The server selects the operation command a1 or a2 to perform a function adjustment on the target VNF module, i.e. to increase the number of VNFCs.
And step 809, performing function adjustment on the target VNF module according to the operation instruction. Similar to step 709, it is not described herein.
In this embodiment, the server may select one or more operation commands from the same and opposite operation commands as much as possible to act on the target VNF module. Since the action and the operation instruction of the target VNF module are screened, this embodiment can avoid that unnecessary operation instructions affect the optimization of the network slice, and reduce the overhead in resource adjustment and parameter configuration, thereby implementing intelligent network operation and maintenance.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
A sixth embodiment of the present invention relates to a server, as shown in fig. 9, including: at least one processor 901, and a memory 902 communicatively coupled to the at least one processor. The memory 902 stores instructions executable by the at least one processor 901, and the instructions are executed by the at least one processor 901, so that the at least one processor 901 can execute the above network operation and maintenance method.
The memory 902 and the processor 901 are coupled by a bus, which may comprise any number of interconnected buses and bridges that couple one or more of the various circuits of the processor 901 and the memory 902. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 901 is transmitted over a wireless medium via an antenna, which further receives the data and transmits the data to the processor 901.
The processor 901 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 902 may be used for storing data used by processor 901 in performing operations. Where the memory and processor are connected by a bus, the bus may comprise any number of interconnected buses and bridges, the buses connecting together one or more of the various circuits of the processor and the memory. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor is transmitted over a wireless medium via an antenna, which further receives the data and transmits the data to the processor.
A seventh embodiment of the present invention relates to a computer-readable storage medium storing a computer program. The computer program realizes the above-described method embodiments when executed by a processor.
That is, as can be understood by those skilled in the art, all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific embodiments for practicing the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.
Claims (13)
1. A network operation and maintenance method is characterized by comprising the following steps:
monitoring the service level agreement SLA index of the network slice, and identifying the SLA index with abnormal monitoring value;
acquiring a root index of the SLA index with the abnormal monitoring value; the root index refers to a performance index of a Virtual Network Function (VNF) module in the network slice, which affects the SLA index;
screening the root indexes with abnormal monitoring values from the root indexes with abnormal monitoring values of SLA indexes;
and optimizing the network slice according to the root index of which the monitoring value is abnormal.
2. The network operation and maintenance method according to claim 1, wherein the obtaining of the root index of the SLA index whose monitored value is abnormal comprises:
and acquiring the root index of the SLA index with the abnormal monitoring value according to the pre-acquired corresponding relation between the SLA index and the root index.
3. The network operation and maintenance method according to claim 2, wherein the pre-obtaining manner of the corresponding relationship between the SLA index and the root cause index is as follows:
and analyzing a performance model adopted in the network slice operation process to obtain the corresponding relation between the SLA index and the root index.
4. The network operation and maintenance method according to claim 1, wherein the fact that the monitored value of the root index is abnormal means that the monitored value of the root index is not within a normal value range of the root index; the normal value range of the root index is preset in the following mode:
obtaining a plurality of historical positive samples of the SLA index; each historical positive sample comprises a normal historical monitoring value of the SLA index and a historical monitoring value of the root index under the normal condition of the SLA index;
and setting a normal value range of the root index according to the historical monitoring values of the root index in the plurality of historical positive samples of the SLA index.
5. The network operation and maintenance method according to claim 4, wherein a normal value range of the root index is set according to the historical monitoring values of the root index in the multiple historical positive samples of the SLA index, and if there are multiple SLA indexes, the normal value range of the root index under each SLA index is determined according to the historical monitoring values of the root index in the multiple historical samples of each SLA index;
and for each root index, setting the intersection of the normal value ranges of the root indexes under each SLA index as the normal value range of the root index.
6. The network operation and maintenance method according to any one of claims 1 to 5, wherein the optimizing the network slice according to the root index of which the monitored value is abnormal comprises:
if the monitoring value is abnormal, analyzing the influence degree of the abnormal root index on the abnormal SLA index, and selecting the abnormal root index with the influence degree meeting the preset condition as the root index to be adjusted;
and optimizing the network slice based on the monitoring value of the root index to be adjusted.
7. The network operation and maintenance method according to claim 6, wherein the degree of influence is characterized by a weight of the root-cause index to the SLA index;
analyzing the influence degree of the monitoring value SLA index with abnormal monitoring values, and selecting the root index with abnormal monitoring values with the influence degree meeting the preset conditions as the root index to be adjusted, wherein the method comprises the following steps:
and acquiring the weight of a plurality of root indexes with abnormal monitoring values to SLA indexes with abnormal monitoring values, and selecting the root index with the maximum weight and with abnormal monitoring values as the root index to be adjusted.
8. The network operation and maintenance method according to claim 7, wherein the obtaining of the weight of the plurality of root-cause indexes with abnormal monitoring values to the SLA index with abnormal monitoring values, and selecting the root-cause index with the highest weight and with an abnormal monitoring value as the root-cause index to be adjusted includes:
and according to the corresponding relation between the root index and the weight of the root index to the SLA index, acquiring the weight of a plurality of abnormal root indexes to the abnormal SLA index, and selecting the abnormal root index with the maximum weight as the root index to be adjusted.
9. The network operation and maintenance method according to claim 8, wherein the correspondence between the root-cause index and the weight of the root-cause index to the SLA index is obtained by:
obtaining a plurality of historical samples of the SLA index; each historical sample comprises historical monitoring values of the SLA indexes and historical monitoring values of the SLA index root indexes;
and obtaining the corresponding relation between the root index and the weight of the root index to the SLA index according to a plurality of historical samples of the SLA index.
10. The network operation and maintenance method according to any one of claims 1 to 5, wherein the optimizing the network slice according to the root index of which the monitored value is abnormal comprises:
generating an operation instruction for the target VNF module according to the monitoring value as the abnormal root index; the monitoring value is an abnormal root index which is a performance index of the target VNF module;
and if a plurality of same operation instructions for the target VNF module exist in the first time window, performing function adjustment on the target VNF module according to one of the operation instructions.
11. The network operation and maintenance method according to any one of claims 1 to 5, wherein the optimizing the network slice according to the root index of which the monitored value is abnormal comprises:
generating an operation instruction for the target VNF module according to the monitoring value as the abnormal root index; the monitoring value is an abnormal root index which is a performance index of the target VNF module;
if two opposite operation instructions for the target VNF module exist in a second time window, one of the operation instructions is selected to perform function adjustment on the target VNF module; wherein the two opposite operation instructions are two operation instructions which have opposite effects on the function adjustment of the target VNF module.
12. An electronic device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the network operation and maintenance method of any one of claims 1 to 11.
13. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the network operation and maintenance method of any one of claims 1 to 11.
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