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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
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.
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公开(公告)号:US20170223075A1
公开(公告)日:2017-08-03
申请号:US15492392
申请日:2017-04-20
Applicant: Huawei Technologies Co., Ltd.
Inventor: Sibao Hong , Mingzhen Xia , Songshan Zhang
IPC: H04L29/06
CPC classification number: H04L65/4069 , G06F8/65 , G06F16/00 , H04L67/10
Abstract: A streaming application upgrading method and a stream computing system, where the method includes obtaining a updated logical model of a streaming application, determining a to-be-adjusted stream by comparing the updated logical model with an initial logical model, generating an upgrading instruction according to the to-be-adjusted stream, and delivering the generated upgrading instruction to a worker node such that the worker node adjusts, according to an indication of the upgrading instruction, a stream between process elements (PEs) distributed on the worker node. The method provided in the present disclosure can upgrade the streaming application online without interrupting a service.
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公开(公告)号:US10785272B2
公开(公告)日:2020-09-22
申请号:US15492392
申请日:2017-04-20
Applicant: Huawei Technologies Co., Ltd.
Inventor: Sibao Hong , Mingzhen Xia , Songshan Zhang
Abstract: A streaming application upgrading method and a stream computing system, where the method includes obtaining a updated logical model of a streaming application, determining a to-be-adjusted stream by comparing the updated logical model with an initial logical model, generating an upgrading instruction according to the to-be-adjusted stream, and delivering the generated upgrading instruction to a worker node such that the worker node adjusts, according to an indication of the upgrading instruction, a stream between process elements (PEs) distributed on the worker node. The method provided in the present disclosure can upgrade the streaming application online without interrupting a service.
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