Huawei Technologies Co., Limited

Ningbo Cixing Co., Ltd.

Yunpeng Gao

Xin Xiao

Yuming Xie

Jian Tong Li

Zhao Zhang

Liang Zhang

Ye Li

Xiaolong Chen

Kai Ma

Zhenwei Zhang

Dewei Bao

Zhongyu Wang

Yanxiang Hou

Sheng Jin

Zhiman Xiong

Yancheng Yang

Juchang Li

Pingfan Sun

Frank Jeanbourquin

This application discloses a fault recovery plan determining method, apparatus, and system, and a computer storage medium, and belongs to the field of network technologies. First, a control device obtains a similar known fault that is in a plurality of known faults and whose fault root cause and a fault root cause of a target fault in a network meet a similarity condition. Then, the control device obtains a fault recovery plan corresponding to the similar known fault. The control device determines, based on the fault recovery plan corresponding to the similar known fault, a fault recovery plan corresponding to the target fault.

Fault recovery plan determining method, apparatus, and system, and computer storage medium

This application provides an optical link fault identification method, and relate to the field of communications technologies. The method includes: obtaining performance data of a network device, extracting a feature parameter of the performance data, and identifying a fault mode on an optical link based on the feature parameter. The method resolves problems of a difficulty in fault identification and slow troubleshooting that are caused by a large quantity of devices, many line faults, and a difficulty in obtaining manual troubleshooting cases. In addition, a fault can be quickly identified when the fault occurs, improving troubleshooting efficiency. When an optical link risk does not cause a fault, deterioration of the performance data can be found in advance based on a feature, to perform identification and warning.

Optical link fault identification method, apparatus and system

A method and an apparatus for determining a status of a network device are provided. A warning analysis device obtains a plurality of pieces of target key performance indicator KPI data of the network device within preset duration, processes the plurality of pieces of target KPI data to generate an element, forms the feature vector by using generated elements corresponding to the plurality of pieces of feature information, and analyzes the feature vector based on a preset warning analysis model, to determine the status of the network device. In this way, the status of the network device is determined by analyzing a plurality of pieces of target KPI data within a period of time, instead of by using only data at a moment. This improves the accuracy of determining the network device, so as to reduce an omission of a warning.

Method and apparatus for determining status of network device

In a fault root cause determining method, a management device obtains a fault feature of a target network in which a fault occurs. The fault feature is determined based on a knowledge graph of the target network in which the fault occurs. The knowledge graph includes a network entity and an abnormal event entity. The abnormal event entity is connected to an abnormal network entity. The abnormal network entity is a network entity that generates an abnormal event in the target network. The abnormal event entity is configured to indicate the abnormal event generated by the abnormal network entity. A type of the network entity is a network device, an interface, a protocol, or a service. The management device determines a fault root cause of the target network based on the fault feature.

Fault root cause determining method and apparatus, and computer storage medium

A method and an apparatus for locating a fault cause are provided. The method includes: obtaining parameter values of a plurality of running parameters and a parameter value of a fault parameter in preset duration before a wavelength division multiplexing board device is faulty; determining a correlation between each of the plurality of running parameters and the fault parameter; and determining at least one target parameter from the plurality of running parameters based on a value of the correlation, where a correlation between each of the at least one target parameter and the fault parameter is greater than a correlation between the fault parameter and a running parameter other than the at least one target parameter in the plurality of running parameters. Accuracy of locating a fault cause can be improved in the embodiments of the present disclosure.

Method and apparatus for locating fault cause, and storage medium

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Nanjing, China

Yunpeng Gao