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Posted to yarn-issues@hadoop.apache.org by "Xun Liu (JIRA)" <ji...@apache.org> on 2018/10/15 09:36:00 UTC

[jira] [Updated] (YARN-8876) [Submarine] Job monitor long-running service of submarine

     [ https://issues.apache.org/jira/browse/YARN-8876?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xun Liu updated YARN-8876:
--------------------------
    Summary: [Submarine] Job monitor long-running service of submarine  (was: [Submarine] Job monitor service of submarine)

> [Submarine] Job monitor long-running service of submarine
> ---------------------------------------------------------
>
>                 Key: YARN-8876
>                 URL: https://issues.apache.org/jira/browse/YARN-8876
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>            Reporter: Xun Liu
>            Assignee: Xun Liu
>            Priority: Major
>
> h1. Job monitor service of submarine
> After training, the monitoring program need auto close PS service. It is possible that other deep learning frameworks also have some custom processing when the tasks are in different states.
> The submarine needs to provide a long-term resident service that monitors each JOB mission.
> This monitoring service can be processed differently according to the training tasks of different depth learning framework types.
> For example: Tensorflow performs distributed training, when the training is completed,
> The PS service cannot be automatically stopped. At this time, the PS needs to be actively stopped by the monitoring service.



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