公开(公告)号：US20190342145A1

公开(公告)日：2019-11-07

申请号：US16514261

申请日：2019-07-17

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Zhitang CHEN ,  Qibin WU ,  Yanhui GENG

IPC: H04L12/24

Abstract: Embodiments of this application provide a service survivability analysis method and apparatus, and relate to the field of communications technologies, so as to shorten duration of service survivability analysis and improve efficiency of the service survivability analysis. The method includes: obtaining a link fault record and network topology information that are in a preset time period; determining a similarity between any two links in all faulty links based on fault occurrence time and fault removal time of the any two links in the link fault record and connection information of network devices on the any two links, to obtain a link similarity matrix; performing clustering on all the faulty links based on the link similarity matrix, to obtain at least one link cluster; and performing survivability analysis on services on at least two preset links based on each of the at least one link cluster.

公开(公告)号：US20230206076A1

公开(公告)日：2023-06-29

申请号：US18111066

申请日：2023-02-17

Applicant: Huawei Technologies Co., Ltd.

Inventor： Yishi XU ,  Yingxue ZHANG ,  Huifeng GUO ,  Ruiming TANG ,  Yanhui GENG

IPC: G06N3/082 ,  G06N3/045

CPC classification number: G06N3/082 ,  G06N3/045

Abstract: System and method for training a recommender system (RS). The RS is configured to make recommendations in respect of a bipartite graph that comprises a plurality of user nodes, a plurality of item nodes, and an observed graph topology that defines edges connecting at least some of the user nodes to some of the item nodes, the RS including an existing graph neural network (GNN) model configured by an existing set of parameters. The method includes: applying a loss function to compute an updated set of parameters for an updated GNN model that is trained with a new graph using the first set of parameters as initialization parameters, the loss function being configured to distil knowledge based on node embeddings generated by the existing GNN model in respect of an existing graph, wherein the new graph includes a plurality of user nodes and a plurality of item nodes that are also included in the existing graph; and replacing the existing GNN model of the RS with the updated GNN model.

公开(公告)号：US20190123974A1

公开(公告)日：2019-04-25

申请号：US16226577

申请日：2018-12-19

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Trimponias GEORGIOS ,  Zhitang CHEN ,  Yanhui GENG

IPC: H04L12/24 ,  H04L12/715 ,  G06N3/08 ,  G06N3/04

Abstract: Embodiments of this application provide a method for generating a routing control action in a software-defined network and a related device, to provide optimum control actions for the SDN. The method includes: obtaining a current network state parameter of the SDN; determining a Q function of the SDN based on the current network state parameter of the SDN and a deep neural network model, where the deep neural network model is determined based on a current topology structure of the SDN; and determining a routing control action for the SDN based on the Q function and a link state parameter of each link in the SDN. In the technical solution, the deep neural network model is combined with a Q-learning algorithm of reinforcement learning, and optimum control actions can be determined.

公开(公告)号：US20180150035A1

公开(公告)日：2018-05-31

申请号：US15880696

申请日：2018-01-26

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Zhitang CHEN ,  Baofeng ZHANG ,  Yanhui GENG

IPC: G05B13/02 ,  G05B13/04 ,  G06N3/12

CPC classification number: G05B13/0265 ,  G05B13/04 ,  G05B13/048 ,  G06N3/126

Abstract: A system control method includes: receiving a control task; randomly selecting a chromosome from an evolution pool according to the control task, and decoding the chromosome to obtain (N+1) ensemble policies, where the chromosome includes (N+1) gene fragments, each gene fragment uniquely corresponds to an ensemble policy, each ensemble policy uniquely corresponds to a preset function, one ensemble policy is used for assigning a weight to a preset function that uniquely corresponds to the ensemble policy, the evolution pool maintains two or more chromosomes, and N is a positive integer greater than or equal to 1; performing an ensemble calculation according to weights assigned by the (N+1) ensemble policies, to obtain an ensemble control output; and generating a control signal according to the ensemble control output, where the control signal is used for performing system control. disclosure

公开(公告)号：US20160134512A1

公开(公告)日：2016-05-12

申请号：US14980491

申请日：2015-12-28

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yanhui GENG ,  Kai CHEN ,  Qiang YANG

IPC: H04L12/729 ,  H04L12/721 ,  H04L12/727 ,  H04L12/24

CPC classification number: H04L45/125 ,  H04L41/0896 ,  H04L43/026 ,  H04L43/0882 ,  H04L45/121 ,  H04L45/72

Abstract: The present application provides a path planning method and a controller. The method includes: acquiring data flow information of a to-be-transmitted job in a software-defined network, where the job includes at least one target data flow, and the data flow information of the job includes: a source address, a destination address, and a volume of each target data flow; and performing path planning according to the data flow information, and obtaining a job transmission path used to ensure that the job is transmitted in the software-defined network in a shortest job transmission time, where the job transmission path includes a transmission path corresponding to each target data flow in the job. The present application improves a data transmission speed of a job in an SDN network.

Abstract translation: 本申请提供路径规划方法和控制器。 该方法包括：在软件定义的网络中获取被发送作业的数据流信息，其中作业包括至少一个目标数据流，并且该作业的数据流信息包括：源地址，目的地 地址和每个目标数据流量; 以及根据数据流信息执行路径规划，并且获得用于确保在最短作业发送时间内在软件定义的网络中发送作业的作业传送路径，其中作业传输路径包括对应于每个 目标数据流在作业中。 本申请提高了SDN网络中的作业的数据传输速度。