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https://issues.apache.org/jira/browse/MAPREDUCE-944?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12753516#action_12753516
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Hudson commented on MAPREDUCE-944:
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Integrated in Hadoop-Mapreduce-trunk-Commit #28 (See
[http://hudson.zones.apache.org/hudson/job/Hadoop-Mapreduce-trunk-Commit/28/])
. Extend the LoadManager API of the fair-share scheduler
to support regulating tasks for a job based on resources currently in use
by that job. (dhruba)
> Extend FairShare scheduler to fair-share memory usage in the cluster
> --------------------------------------------------------------------
>
> Key: MAPREDUCE-944
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-944
> Project: Hadoop Map/Reduce
> Issue Type: Improvement
> Components: contrib/fair-share
> Reporter: dhruba borthakur
> Assignee: dhruba borthakur
> Fix For: 0.21.0
>
> Attachments: LoadManager.txt, LoadManager2.txt
>
>
> The FairShare Scheduler has an extensible LoadManager API to regulate
> allocating new tasks on a particular TaskTracker. In similar lines, it would
> be nice if the FairShare Scheduler can have a pluggable policy to regulate
> new tasks from a particular job. This will allow one to skip scheduling tasks
> of a job that is eating a large percentage of memory in the cluster, i.e.
> fair-share of memory resources among jobs.
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