Deep Learning Job Scheduling Method and System and Related Device

    公开(公告)号:US20210011762A1

    公开(公告)日:2021-01-14

    申请号:US17038720

    申请日:2020-09-30

    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.

    Streaming Application Upgrading Method, Master Node, and Stream Computing System

    公开(公告)号:US20170223075A1

    公开(公告)日:2017-08-03

    申请号:US15492392

    申请日:2017-04-20

    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.

    Streaming application upgrading method, master node, and stream computing system

    公开(公告)号:US10785272B2

    公开(公告)日:2020-09-22

    申请号:US15492392

    申请日:2017-04-20

    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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