Huawei Technologies Co., Limited

Arashi Vision Inc.

Yuming Xie

Liang Zhang

Jun Wu

Xin Xiao

Yunpeng Gao

Li Xue

Xinyu Hu

Yuping Zhao

Jian Tong Li

Wei Song

Qian Xiao

Zhongyu Wang

Lei Zhang

Liang Xia

Hua Li

Yang Wang

Jian Mg Cheng

Zhao Zhang

Hui Li

Jianjie You

Kai Ma

Zhenwei Zhang

Gang Zheng

Ming Ju Chen

Yong Luo

Jian Li

Zhiman Xiong

Jian Zhang

Zhigang Huang

Dewei Bao

Jinwei Xia

Lv Ding

Teng Teng

Biwei Song

Sheng Jin

Yancheng Yang

Ming Chen

Yanxiang Hou

Dongtian Yang

Wenxue Peng

Juchang Li

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

A management device obtains network data of a target network. The network data includes a network topology of the target network and device information of a plurality of network devices in the target network, and the device information includes one or more of interface configuration information, protocol configuration information, and service configuration information. The management device extracts a plurality of knowledge graph triplets from the network data. Each knowledge graph triplet includes two network entities and a relationship between the two network entities. The type of the network entity may be a network device, an interface, a protocol, or a service. The management device generates a knowledge graph of the target network based on the plurality of knowledge graph triplets. The knowledge graph of the target network can be used to visualize the network data.

Data processing method and apparatus, and computer storage medium

An Internet Protocol Security (IPsec) acceleration method includes generating, by an Internet Key Exchange (IKE) device, an IKE link establishment session packet according to an IPSec configuration parameter and a security policy in a security policy database (SPD), sending, by the IKE device, the IKE link establishment session packet to a peer device, establishing a security association (SA) with the peer device, and sending, by the IKE module, the SA to a data forwarding device, where the IKE device and the data forwarding device are discrete devices.

IPSec acceleration method, apparatus, and system

Embodiments of this application provide a method and an apparatus for obtaining optical distribution network (ODN) logical topology information, a device, and a storage medium. The method includes: obtaining identification information of each first ONU that is connected to a first passive optical network (PON) port and whose optical path changes and feature data of the first ONU in a first time window, where the feature data includes receive optical power and/or an alarm event; obtaining, based on the feature data of each first ONU, a feature vector corresponding to each first ONU; and performing cluster analysis on the feature vector corresponding to each first ONU, to obtain topology information corresponding to the first PON port. ONU topology information is obtained by analyzing an ONU feature.

Method and apparatus for obtaining ODN logical topology information, device, and storage medium

A fault recovery method and apparatus, and a storage medium are provided, and belong to the field of Internet technologies. In the method, network composition information and abnormal event information of a target network are obtained, where the network composition information includes a network topology of the target network and device information of a plurality of network devices on the target network, and the device information includes one or more of interface configuration information, protocol configuration information, and service configuration information; and then a possible root cause of a fault of the target network is determined based on the network composition information and the abnormal event information, where the possible root cause of the fault is used to determine a corresponding fault recovery plan.

Fault recovery method and apparatus, and storage medium

Example electric appliance identification methods and apparatuses are provided. One example method includes obtaining, by a power line communication (PLC) device, a first noise signal in a circuit. The PLC device can then obtain first data based on the first noise signal, where the first data is used to describe a time-frequency feature of the first noise signal. The PLC device can then obtain, based on an electric appliance identification model and the first data, an electric appliance identification result corresponding to the first noise signal, where the electric appliance identification model is obtained based on a signal including a second noise signal of at least one known electric appliance.

Electric appliance identification method and apparatus

In an embodiment, a data collection method includes: collecting, by a data collection device, performance indicator data of a target device based on a collection periodicity; detecting change amplitude of the collected performance indicator data that is in a change detection window, where the change detection window includes multiple collection periodicities; and when it is detected that change amplitude of the performance indicator data that is in the change detection window is greater than or equal to a change detection threshold, sending the performance indicator data that is in the change detection window to a data analysis device.

Data collection method and related device

A fault locating method includes: receiving, by a first network device, a fault information packet flooded by another network device in a network, where each fault information packet includes statistical information about an interior gateway protocol packet of the network device sending the fault information packet, and the statistical information of each network device includes a statistical result on one or more key performance indicators KPIs of the network device; and determining, based on statistical information of the first network device and the statistical information of the another network device, a network device on which a fault occurs in the network. According to the method, the fault information packet flooded by the network device is received, so that information required for fault locating, that is, the KPI of the network device, can be quickly collected. This facilitates a fault locating process and reduces a fault locating time.

Fault locating method and network device

A data packet sending method, a network device, a control device, and a network system includes receiving a first data packet sent by a first device, where a packet header of the first data packet includes a first sequence number marker sequence, a first position marker sequence, a first accumulated value, and a verification value; obtaining a second data packet, where a packet header of the second data packet includes a second sequence number marker sequence, a second position marker sequence, a second accumulated value, and the verification value; and sending the second data packet to a second device.

Data packet sending method, network device, control device, and network 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

The present invention provides a horizontal calibration method and system for a panoramic image or video, and a portable terminal. The method comprises: receiving images or video frames of two circles after being imaged by two cameras having opposite photographing directions; obtaining a horizontal calibration matrix during photographing; and pasting, according to the horizontal calibration matrix, the images or video frames of the two circles to a left hemispherical curved surface and a right hemispherical curved surface of a spherical panoramic mathematical model in a UV mapping manner, respectively so that the panoramic images or video frames pasted in the spherical panoramic mathematical model are horizontal. According to the present invention, when an image or a video frame photographed by a panoramic camera is not horizontal, the panoramic image or the video frame pasted in a spherical panoramic mathematical model is still horizontal.

Horizontal calibration method and system for panoramic image or video, and portable terminal

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 driver loading method and a server, where when receiving a service request, the server determines a first global index and a first global virtual function (VF) identifier corresponding to a first function description of a designated function included in the service request, determines a virtual machine (VM) corresponding to the service request, associates the first global VF identifier with the VM, allocates a first local index on the VM to the designated function, creates a correspondence between the first local index and the first function description, and sends the correspondence to the VM. The VM loads, according to the correspondence, a driver of the designated function for a first VF corresponding to the first global VF identifier. According to the foregoing method, different drivers can be loaded for VFs that have different functions and that are virtualized by a Peripheral Component Interconnect Express (PCIe) device.

Virtual function driver loading method and server using global and local identifiers corresponding to locations of the virtual functions

A network element health status detection method and device, where the method includes: determining sampled data of at least one key performance indicator (KPI) of a target network element in a first time window; obtaining a fluctuation score of any KPI in the at least one KPI according to sampled data of the any KPI in the first time window and a steady state value of the any KPI; and determining a health status of the target network element based on a fluctuation score of each KPI. Therefore, a network element health status is determined using single-point performance data of a network element and performance data in a network element time window.

Network element health status detection method and device

Growing community of inventors

Nanjing, China

Yuming Xie