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From "Bikas Saha (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-2) Enhance CS to schedule accounting for both memory and cpu cores
Date Thu, 27 Dec 2012 19:04:15 GMT

    [ https://issues.apache.org/jira/browse/YARN-2?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13540107#comment-13540107
] 

Bikas Saha commented on YARN-2:
-------------------------------

I am not against shares if there are technical reasons going for it. However, "same terminology
as cgroups" makes me wary of introducing more Linux concepts into Hadoop code.

Arun, do we have a baseline value for what a virtual core is (eg 1Ghz Intel Xeon 2010 core)?
Like Amazon's classification of CPU for their VM's. Is it published in the docs or somewhere
in the code? Are are we planning to make it configurable and so 1 virtual core on cluster
A is not comparable to 1 virtual core on cluster B? I am trying to understand if virtual cores
is a standardization or merely a multiplicative artifact that gives us finer granularity.
                
> Enhance CS to schedule accounting for both memory and cpu cores
> ---------------------------------------------------------------
>
>                 Key: YARN-2
>                 URL: https://issues.apache.org/jira/browse/YARN-2
>             Project: Hadoop YARN
>          Issue Type: New Feature
>          Components: capacityscheduler, scheduler
>            Reporter: Arun C Murthy
>            Assignee: Arun C Murthy
>             Fix For: 2.0.3-alpha
>
>         Attachments: MAPREDUCE-4327.patch, MAPREDUCE-4327.patch, MAPREDUCE-4327.patch,
MAPREDUCE-4327-v2.patch, MAPREDUCE-4327-v3.patch, MAPREDUCE-4327-v4.patch, MAPREDUCE-4327-v5.patch,
YARN-2-help.patch, YARN-2.patch, YARN-2.patch, YARN-2.patch, YARN-2.patch, YARN-2.patch, YARN-2.patch
>
>
> With YARN being a general purpose system, it would be useful for several applications
(MPI et al) to specify not just memory but also CPU (cores) for their resource requirements.
Thus, it would be useful to the CapacityScheduler to account for both.

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