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https://issues.apache.org/jira/browse/MAPREDUCE-4334?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13420363#comment-13420363
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Bikas Saha commented on MAPREDUCE-4334:
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Aside from a design proposal I would be really interested in seeing how exactly
cgroups work in the context of our typical workload. Say, take a bunch of
typical mappers and reducers and run them in isolation. Then run them in
isolation within cgroups. Is there a difference? Now run them concurrently with
and without cgroups. What are the observations? These experiments may lead to
expected or unexpected results and would be a great addition to the design pros
and cons. Perhaps you have already run those experiments. If yes, care sharing
the results.
> Add support for CPU isolation/monitoring of containers
> ------------------------------------------------------
>
> Key: MAPREDUCE-4334
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-4334
> Project: Hadoop Map/Reduce
> Issue Type: Sub-task
> Reporter: Arun C Murthy
> Assignee: Andrew Ferguson
> Attachments: MAPREDUCE-4334-pre1.patch,
> MAPREDUCE-4334-pre2-with_cpu.patch, MAPREDUCE-4334-pre2.patch,
> MAPREDUCE-4334-pre3-with_cpu.patch, MAPREDUCE-4334-pre3.patch,
> MAPREDUCE-4334-v1.patch, MAPREDUCE-4334-v2.patch
>
>
> Once we get in MAPREDUCE-4327, it will be important to actually enforce
> limits on CPU consumption of containers.
> Several options spring to mind:
> # taskset (RHEL5+)
> # cgroups (RHEL6+)
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