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From "Radim Kolar (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-4256) Improve resource scheduling
Date Mon, 28 May 2012 10:06:25 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-4256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13284356#comment-13284356

Radim Kolar commented on MAPREDUCE-4256:

resources will be detectable by plugin. Plugin will work in 2 modes (node wide and cluster
wide) and report currently in use resource and max. available. If resource will not have plugin
assigned, it will use simple allocation - just hardcode into hadoop config how much resources
of that kind you have.
> Improve resource scheduling
> ---------------------------
>                 Key: MAPREDUCE-4256
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4256
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>          Components: resourcemanager
>            Reporter: Radim Kolar
> Currently resource manager supports only Memory resource during container allocation.
> I propose following improvements:
> 1. add support for CPU utilization. Node CPU used information can be obtained by ResourceCalculatorPlugin.
> 2. add support for custom resources. In node configuration will be something like:
> name=node.resource.GPU, value=1 (node has 1 GPU).
> If job will need to use GPU for computation, it will add "GPU=1" requirement to its job
config and Resource Manager will allocate container on node with GPU available.

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