WO2019109961A1 - Procédé et appareil de diagnostic de défaillances - Google Patents

Procédé et appareil de diagnostic de défaillances Download PDF

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Publication number
WO2019109961A1
WO2019109961A1 PCT/CN2018/119426 CN2018119426W WO2019109961A1 WO 2019109961 A1 WO2019109961 A1 WO 2019109961A1 CN 2018119426 W CN2018119426 W CN 2018119426W WO 2019109961 A1 WO2019109961 A1 WO 2019109961A1
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Prior art keywords
resource
fault
vnf service
vnf
service
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PCT/CN2018/119426
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English (en)
Chinese (zh)
Inventor
尚兴宏
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华为技术有限公司
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Publication of WO2019109961A1 publication Critical patent/WO2019109961A1/fr

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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
    • H04L41/40—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using virtualisation of network functions or resources, e.g. SDN or NFV entities
    • 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
    • H04L41/06—Management of faults, events, alarms or notifications
    • H04L41/0604—Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time
    • H04L41/0613—Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time based on the type or category of the network elements
    • 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
    • H04L41/06—Management of faults, events, alarms or notifications
    • H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
    • 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]
    • 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]
    • H04L41/5012—Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF] determining service availability, e.g. which services are available at a certain point in time
    • H04L41/5016—Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF] determining service availability, e.g. which services are available at a certain point in time based on statistics of service availability, e.g. in percentage or over a given time

Definitions

  • the present application relates to the field of communication networks, and in particular, to a method and apparatus for fault diagnosis in a network.
  • NFV network function virtualization
  • VNF virtual network function
  • NFVI network functions virtualization infrastructure
  • the prior art cannot determine the relationship between the NFV service layer failure and the NFVI underlying resource failure, and cannot quickly locate and handle the fault of the NFV service layer.
  • the embodiment of the invention provides a diagnostic method and device, which can realize fault location and processing of the NFV service layer quickly by determining the relationship between the NFV service layer fault and the NFVI underlying resource fault.
  • the embodiment of the present application provides a diagnostic method, where the method specifically includes: determining a virtual network function VNF service fault, obtaining a diagnosis rule of a VNF service fault, and correlating resource associated data of the VNF service fault with a diagnostic rule. Match to determine the cause of the failure of the VNF service failure.
  • the fault location and processing of the NFV service layer can be quickly implemented by determining the relationship between the NFV service layer fault and the NFVI underlying resource fault.
  • the foregoing “acquiring the diagnosis rule of the VNF service fault” may include: calculating the diagnosis rule of the VNF service fault by using the first algorithm according to the historical resource association data associated with the VNF service fault.
  • the foregoing “first algorithm” may include: a frequent item mining algorithm.
  • resource association data may include at least one of the following: a key performance indicator (KPI) statistics, resource alarm information, and resource log information.
  • KPI key performance indicator
  • resource KPI statistics may include at least one of the following: a cumulative sum, an average value, a maximum value, and a real-time value of the resource KPI sampling data in the statistical period.
  • the foregoing “resource association data” may be obtained by using a periodic polling manner or by using a subscription method.
  • the determining that the VNF service fault occurs may include: determining, by using a dynamic threshold or a static threshold method, the VNF service fault.
  • the embodiment of the present application provides a diagnostic apparatus, where the apparatus specifically includes: a processing module, configured to determine a virtual network function VNF service fault; and a communication module, configured to obtain a diagnosis rule of a VNF service fault; the processing module The resource association data associated with the VNF service fault is matched with the diagnosis rule to determine the fault cause of the VNF service fault.
  • the fault location and processing of the NFV service layer can be quickly implemented by determining the relationship between the NFV service layer fault and the NFVI underlying resource fault.
  • the processing module is specifically configured to determine, by using a dynamic threshold or a static threshold method, the VNF service fault.
  • the communication module is configured to calculate a diagnosis rule of the VNF service fault by using a first algorithm according to historically recorded resource association data associated with the VNF service fault.
  • each module in the second aspect may implement the functions performed in the foregoing method design of the first aspect, and the functions may be implemented by using hardware or by executing corresponding software by hardware.
  • the hardware or software includes one or more modules corresponding to the functions described above. I will not repeat them here.
  • an embodiment of the present invention provides a computer storage medium, where the computer storage medium stores instructions, when executed on a computer, causing the computer to perform any of the foregoing first aspect or the first aspect. The method described in the design.
  • an embodiment of the present invention provides a computer storage medium, where the computer storage medium stores instructions, when executed on a computer, causing the computer to perform any of the foregoing second aspect or the second aspect. The method described in the design.
  • an embodiment of the present invention provides a computer program product, comprising: instructions, when executed by a computer, causing a computer to perform any of the above aspects or any one of the possible aspects of the first aspect The method described in the above.
  • an embodiment of the present invention provides a computer program product, comprising instructions, when executed by a computer, causing a computer to perform any one of the foregoing second aspect or the second aspect The method described in the above.
  • FIG. 1 is a schematic structural diagram of a system for diagnosing a fault according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of a method for acquiring resource data in a subscription manner according to an embodiment of the present invention
  • FIG. 3 is a schematic diagram of a method for acquiring resource data in a polling manner according to an embodiment of the present disclosure
  • FIG. 4 is a schematic diagram of a method for generating associated data for a service fault according to an embodiment of the present disclosure
  • FIG. 5 is a schematic diagram of a method for diagnosing a service fault according to an embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of a diagnostic apparatus according to an embodiment of the present invention.
  • FIG. 7 is a schematic structural diagram of another diagnostic apparatus according to an embodiment of the present invention.
  • FIG. 1 is a schematic structural diagram of a system for fault diagnosis according to an embodiment of the present invention.
  • the system mainly includes a VNF service layer and an NFVI resource layer.
  • the VNF implements the business function, and each VNF also corresponds to an element management system (EMS) to manage the VNF.
  • the NFVI layer includes hardware resources and virtual resources.
  • the hardware resources are at the bottom layer and may include resources such as computing hardware, storage hardware, and network hardware.
  • the virtual resources are formed on the basis of hardware resources, including virtual computing resources, virtual storage resources, virtual network resources, etc., to form a virtual resource pool.
  • the VNF business layer and the NFVI business layer each have their own management system, VNF Manager (VNFM) and NFV Infrastructure Manager (VIM).
  • VNFM VNF Manager
  • VIM NFV Infrastructure Manager
  • the system shown in FIG. 1 also includes a database (DB) for storing data required for fault diagnosis.
  • DB database
  • the VNF and EMS of the business layer can directly access the database or access the database through VNFM.
  • the data of the NFVI resource layer such as KPI data, and various alarm information, can be reported to VNFM through VIM and stored in the database.
  • the embodiment of the present invention provides a method for fault diagnosis, which mainly includes acquisition of source data, generation of associated data, and diagnosis of service faults. These diagnostic methods may be performed by the VNF or by the EMS, and the following embodiments are described by taking VNF execution as an example.
  • NFVI resource alarm information for example, NFVI resource alarm information, NFVI resource KPI data, and NFVI logs.
  • NFVI resource KPI data for example, NFVI resource KPI data
  • NFVI logs There are also many ways to obtain them, such as the way of subscription and the way of polling.
  • FIG. 2 is a schematic diagram of a method for acquiring resource data in a subscription manner according to an embodiment of the present invention. As shown in FIG. 2, the method specifically includes:
  • the VNF service requests to subscribe to the resource alarm information in the NFVI layer by using the VNFM.
  • the VNF requests to subscribe to the NFVI layer alarm.
  • the VNF sends a subscription request message to the VNFM, and the parameters in the subscription request message include a VNF identifier and an alarm identifier.
  • the VNFM subscribes to the VNFI for alarm information.
  • the VNF subscribes to the alarm information, if the NFVI layer generates an alarm during the running process, the alarm information is sent to the VNFM, and the VNFM sends the alarm information to the service layer.
  • the VNF service receives the NFVI resource alarm message.
  • the VNFM When the resource in the NFVI is faulty, the VNFM receives the resource alarm message sent by the NFVI layer, and the VNFM sends the alarm message to the VNF service that subscribes to the alarm information.
  • the resource alarm message contains related information such as the resource identifier, the alarm identifier, and the subscribed VNF identifier.
  • the VNF service stores the received alarm information in a database.
  • the VNF service stores the received resource alarm information in the database.
  • the stored resource alarm information includes the following fields: alarm time, resource identifier, alarm identifier, and alarm name.
  • FIG. 3 is a schematic diagram of a method for acquiring resource data in a polling manner according to an embodiment of the present invention. As shown in FIG. 3, the method may include:
  • the VNF service generates a KPI sampling task of the NFVI layer resource.
  • the service layer obtains the KPI data of the resource layer, and usually adopts a periodic sampling manner.
  • the sampling period may be 10 seconds or 1 minute.
  • the VNF service layer obtains virtual resources and physical resource information such as a virtual machine (VM) and a host (host) where the service is located.
  • VM virtual machine
  • host host
  • the VNF service requests sampling KPI data of resources in the NFVI layer.
  • the service layer sends a sample request message to the VNFM.
  • the VNFM After receiving the sample request message, the VNFM requests relevant data from the NFVI.
  • the sampling request message includes: a VNF identifier, a VM information, a host information, and a KPI identifier.
  • the KPI data of the NFVI resource may include multiple, such as current network speed, hard disk data access volume, traffic processed in a cycle on the VM, and the like.
  • S304 The VNF service generates KPI statistics according to the sampled resource KPI data.
  • the service layer After receiving the sampled KPI data, the service layer calculates KPI statistics in a statistical period.
  • the statistical period may be N times the sampling period. For example, when the sampling period is 10 seconds, when N is 6 times, the statistical period is 1 minute.
  • SVG The average of the resource KPI data sampled during the statistical period (the cumulative sum of the sampled values divided by the number of samples).
  • RRL Real-Time Value
  • the VNF service stores the above-mentioned resource KPI statistics into the database.
  • the database may store the statistical data of the resource KPI.
  • the stored resource KPI statistical data table may include the following fields: a statistical period, a KPI identifier, a KPI name, a KPI statistical data, and the like.
  • the VNF service continuously obtains alarm information and KPI statistics of the underlying resources. Provides a diagnostic data source for subsequent business failures.
  • FIG. 4 is a schematic diagram of a method for generating associated data of a service fault according to an embodiment of the present invention. As shown in FIG. 4, after detecting a service failure, establishing association data of a resource fault and a resource alarm associated with the fault, Specifically include:
  • the VNF service determines that the service data of the service is faulty.
  • the VNF service determines the service data of the service by using a dynamic threshold or a static threshold. If the service data exceeds the dynamic threshold or the static threshold, the VNF service is determined to be faulty.
  • the VNF service reads the NFVI resource KPI statistics stored in the database.
  • the VNF service Based on the detected service faults, the VNF service obtains resource KPI statistics of the NFVI within the associated duration from the database.
  • the association duration is the length of time that may be associated with a business failure, for example, configurable to minutes or tens of minutes. In this way, it is not necessary to retain all the data in the database, and only the resource data that may be related to the service failure can be retained.
  • Different resource data types such as resource alarm information and resource KPI statistics, can be configured with different association durations.
  • the VNF service determines which resource KPI statistics are faulty through dynamic thresholds or static thresholds. For example, the CPU usage exceeds the threshold.
  • the VNF service obtains a resource alarm information table within the associated duration from the database according to the detected service fault.
  • S405 The VNF service determines the associated data of the service fault.
  • the VNF service uses the faulty resource KPI statistical data determined in the above step S403 and the resource alarm information acquired in step S404 as the associated data of the VNF service fault.
  • the VNF service stores the associated data of the service fault in the database.
  • the VNF service stores the associated data in the service fault association table in the database.
  • the association table may include: service fault time, service fault identifier, associated resource KPI statistics, and associated resource alarm information.
  • the database stores the associated data of service failures and resource KPIs and resource alarms.
  • the process of FIG. 4 is repeatedly executed, thereby continuously adding associated data to the service failure association table, and providing rich historical data for subsequent fault diagnosis.
  • FIG. 5 is a schematic diagram of a method for diagnosing a service fault according to an embodiment of the present invention.
  • a reason for diagnosing an underlying resource that causes a service fault of a VNF according to historical data in a database and a certain algorithm specifically includes :
  • VNF service When a VNF service encounters a service failure during operation, it initiates a service fault diagnosis to determine the cause of the service failure.
  • the VNF service reads a service fault association table in the database.
  • the VNF service reads the history of the service fault association table content from the database, including the resource KPI statistics associated with the service fault, and the resource alarm information associated with the service fault.
  • the VNF service determines a diagnosis rule according to the service fault association table.
  • the VNF service calculates the diagnosis rule of the service fault through the related first algorithm.
  • first algorithms such as frequent item mining algorithms.
  • the correlation between the VNF service fault and the corresponding resource KPI fault or resource alarm may be obtained from the associated data of the VNF service fault in the historical time, that is, the diagnostic rule.
  • the VNF service obtains, from the database, the associated data of the service fault in the current association duration.
  • the VNF service obtains, from the database, associated data associated with the service fault to be diagnosed in the current period, including resource KPI statistics and resource alarm information.
  • the VNF service determines the diagnosis result according to the diagnosis rule and the associated data.
  • the resource KPI statistics and resource alarm information related to the above service faults are matched with the diagnostic rules to determine the diagnosis result. That is, the root cause of the service failure is determined by which resource alarm information or resource KPI statistics are most abnormal. For example, the VNF service failure manifests itself in a sharp drop in user 4G traffic, and eventually locates a hardware resource (network card) to generate an alarm.
  • the collection of the KPI data and the alarm information of the underlying resource and the association with the VNF service fault enable the rapid location service fault, which greatly improves the fault recovery capability and system reliability.
  • FIG. 6 is a schematic structural diagram of a diagnostic device according to an embodiment of the present invention.
  • the diagnostic device 600 includes a storage module 601, a processing module 602, and a communication module 603.
  • the processing module 602 is configured to control management of the actions of the diagnostic device, such as the processing module 602, for supporting the diagnostic device to perform the processes 501 and 503 of FIG. 5, and/or other processes for the techniques described herein.
  • the communication module 403 is configured to obtain a diagnosis rule of a VNF service failure.
  • the diagnostic device may further include a storage module 601 for storing statistical data of the resource KPI and the like.
  • the processing module 602 can be a processor or a controller, for example, a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), and an application-specific integrated circuit (Application-Specific). Integrated Circuit (ASIC), Field Programmable Gate Array (FPGA) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It is possible to implement or carry out various exemplary logical blocks, modules and circuits described in connection with the disclosure of the embodiments of the invention.
  • the processor may also be a combination of computing functions, for example, including one or more microprocessor combinations, a combination of a DSP and a microprocessor, and the like.
  • the communication module 603 can be a communication interface, a transceiver, a transceiver circuit, etc., wherein the communication interface is a collective name and can include one or more interfaces.
  • the storage module 601 can be a memory.
  • the terminal device When the processing module 602 is a processor, the communication module 603 is a communication interface, and the storage module 601 is a memory, the terminal device according to the embodiment of the present invention may be the terminal device shown in FIG.
  • FIG. 7 is a schematic structural diagram of another diagnostic apparatus according to an embodiment of the present invention.
  • the diagnostic apparatus 700 includes a processor 701, a communication interface 703, and a memory 701.
  • the communication interface 703, the processor 702, and the memory 701 can be connected to each other through a communication connection.
  • each function module may be divided according to each function, or two or more functions may be integrated into one processing module.
  • the above integrated modules can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of the module in the embodiment of the present invention is schematic, and is only a logical function division, and the actual implementation may have another division manner.
  • the diagnostic device includes hardware structures and/or software modules corresponding to the execution of the respective functions. Those skilled in the art will readily appreciate that the present invention can be implemented in a combination of hardware or hardware and computer software in combination with the elements and algorithm steps of the various examples described in the embodiments disclosed herein.
  • the steps of a method or algorithm described in connection with the embodiments disclosed herein can be implemented in hardware, a software module executed by a processor, or a combination of both.
  • the software module can be placed in random access memory (RAM), memory, read only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or technical field. Any other form of storage medium known.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

La présente invention concerne, dans certains modes de réalisation, un procédé et un appareil de diagnostic de défaillances. Le procédé comporte spécifiquement les étapes consistant à: déterminer qu'une défaillance de service de fonction virtuelle de réseau (VNF) est survenue, obtenir une règle de diagnostic de la défaillance de service de VNF, et mettre en rapport des données associatives de ressources, associées à la défaillance de service de VNF, avec la règle de diagnostic pour déterminer une cause de défaillance de la défaillance de service de VNF. Dans la solution, des données associatives de ressources associées à une défaillance de service de VNF sont mises en rapport avec la règle de diagnostic, et une défaillance d'une couche de service NFV peut être localisée et traitée rapidement en déterminant une relation entre des défaillances de la couche de service NFV et des défaillances de ressources de couche inférieure de NFVI.
PCT/CN2018/119426 2017-12-08 2018-12-05 Procédé et appareil de diagnostic de défaillances WO2019109961A1 (fr)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111934910A (zh) * 2020-07-14 2020-11-13 中国联合网络通信集团有限公司 故障处理方法、设备及存储介质
WO2023056723A1 (fr) * 2021-10-08 2023-04-13 苏州浪潮智能科技有限公司 Procédé et appareil de diagnostic de défaillance, dispositif électronique et support de stockage

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112217692A (zh) * 2020-02-19 2021-01-12 杜义平 网络系统、网络诊断处理方法及装置
CN113596891B (zh) * 2021-07-28 2023-07-14 中国联合网络通信集团有限公司 故障定位方法、装置、服务器、存储介质及系统

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104170323A (zh) * 2014-04-09 2014-11-26 华为技术有限公司 基于网络功能虚拟化的故障处理方法及装置、系统
WO2015100611A1 (fr) * 2013-12-31 2015-07-09 华为技术有限公司 Appareil, dispositif et procédé de gestion de défaillance de virtualisation de fonction de réseau (nfv)
CN105187249A (zh) * 2015-09-22 2015-12-23 华为技术有限公司 一种故障恢复方法及装置
CN106301828A (zh) * 2015-05-21 2017-01-04 中兴通讯股份有限公司 一种虚拟化网络功能业务故障的处理方法及装置
EP3252600A1 (fr) * 2015-01-28 2017-12-06 Nec Corporation Dispositif de gestion de fonction réseau virtuelle, système, procédé de rétablissement et programme

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101937447B (zh) * 2010-06-07 2012-05-23 华为技术有限公司 一种告警关联规则挖掘方法、规则挖掘引擎及系统
BR112016016656A2 (pt) * 2014-01-21 2017-08-08 Huawei Tech Co Ltd Método de manuseio de falha de serviço de rede, sistema de gerenciamento de serviço e módulo de gerenciamento de sistema
CN107409063B (zh) * 2015-08-25 2019-12-24 华为技术有限公司 一种获取vnf信息的方法、装置及系统
CN106130809B (zh) * 2016-09-07 2019-06-25 东南大学 一种基于日志分析的IaaS云平台网络故障定位方法及系统
CN107248927B (zh) * 2017-05-02 2020-06-09 华为技术有限公司 故障定位模型的生成方法、故障定位方法和装置

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015100611A1 (fr) * 2013-12-31 2015-07-09 华为技术有限公司 Appareil, dispositif et procédé de gestion de défaillance de virtualisation de fonction de réseau (nfv)
CN104170323A (zh) * 2014-04-09 2014-11-26 华为技术有限公司 基于网络功能虚拟化的故障处理方法及装置、系统
EP3252600A1 (fr) * 2015-01-28 2017-12-06 Nec Corporation Dispositif de gestion de fonction réseau virtuelle, système, procédé de rétablissement et programme
CN106301828A (zh) * 2015-05-21 2017-01-04 中兴通讯股份有限公司 一种虚拟化网络功能业务故障的处理方法及装置
CN105187249A (zh) * 2015-09-22 2015-12-23 华为技术有限公司 一种故障恢复方法及装置

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111934910A (zh) * 2020-07-14 2020-11-13 中国联合网络通信集团有限公司 故障处理方法、设备及存储介质
CN111934910B (zh) * 2020-07-14 2023-03-24 中国联合网络通信集团有限公司 故障处理方法、设备及存储介质
WO2023056723A1 (fr) * 2021-10-08 2023-04-13 苏州浪潮智能科技有限公司 Procédé et appareil de diagnostic de défaillance, dispositif électronique et support de stockage

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