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  1. Hadoop Map/Reduce
  2. MAPREDUCE-944

Extend FairShare scheduler to fair-share memory usage in the cluster

    Details

    • Type: Improvement
    • Status: Closed
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 0.21.0
    • Component/s: contrib/fair-share
    • Labels:
      None
    • Hadoop Flags:
      Reviewed

      Description

      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.

        Attachments

        1. LoadManager.txt
          4 kB
          dhruba borthakur
        2. LoadManager2.txt
          5 kB
          dhruba borthakur

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              • Assignee:
                dhruba dhruba borthakur
                Reporter:
                dhruba dhruba borthakur
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                • Created:
                  Updated:
                  Resolved: