公开(公告)号：US09706414B2

公开(公告)日：2017-07-11

申请号：US14577062

申请日：2014-12-19

Applicant: Huawei Technologies Co., Ltd.

Inventor： Feng Hu ,  Jinlong Wu ,  Yining Wang ,  Yaoshun Xu ,  Jiandong Wu ,  Dongkai Zheng ,  Ling Li ,  Jian Lin

IPC: H04W16/22 ,  H04L12/24 ,  H04L12/26 ,  H04W24/08

CPC classification number: H04W16/22 ,  H04L41/0823 ,  H04L41/145 ,  H04L43/0894 ,  H04W24/08

Abstract: A method and an apparatus for determining a data flow rate on a service access port are provided. The method includes: acquiring data traffic information of existing service access ports; classifying the service access ports according to the data traffic information of the service access ports, and determining a data traffic model of a service access port of each class; and when it is determined that a new service access port is to be added to a network, determining a data traffic model corresponding to the new service access port that is to be added, and determining, according to the data traffic model corresponding to the new service access port that is to be added, a data flow rate on the new service access port that is to be added, thus costs of determining a data flow rate on a new service data port to be added can be reduced.

公开(公告)号：US11010681B2

公开(公告)日：2021-05-18

申请号：US16805007

申请日：2020-02-28

Applicant: Huawei Technologies Co., Ltd.

Inventor： Jian Lin ,  Mingzhen Xia

IPC: G06N7/00 ,  G06F16/901 ,  H04L12/803 ,  H04L12/851

Abstract: A distributed computing system is provided. Both a first computing node and a second computing node in the distributed computing system store information about a name, a size, and a communication peer side identifier of a first data flow graph parameter in a data flow graph. The first computing node stores the first data flow graph parameter, where the first computing node and the second computing node generate respective triplets based on same interface parameter generation algorithms and information about the first data flow graph parameter that are stored in the respective nodes. The triplet is used as an interface parameter of a message passing interface (MPI) primitive that is used to transmit the first data flow graph parameter between the first computing node and the second computing node.

公开(公告)号：US20210011762A1

公开(公告)日：2021-01-14

申请号：US17038720

申请日：2020-09-30

Applicant: Huawei Technologies Co., Ltd.

Inventor： Jian Lin ,  Jie Yang ,  Sibao Hong

IPC: G06F9/48 ,  G06N20/00 ,  G06N3/08 ,  G06F9/50

Abstract: A deep learning job scheduling method includes obtaining a job request of a deep learning job, determining a target job description file template from a plurality of pre-stored job description file templates based on the job request, determining an identifier of a target job basic image from identifiers of a plurality of pre-stored job basic images based on the job request, generating a target job description file based on the target job description file template and the identifier of the target job basic image, sending the target job description file to a container scheduler, and selecting the target job basic image from the pre-stored job base images based on the target job description file, and creating at least one container for executing the job request.