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From "Scott Chen (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAPREDUCE-961) ResourceAwareLoadManager to dynamically decide new tasks based on current CPU/memory load on TaskTracker(s)
Date Fri, 16 Oct 2009 02:08:31 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-961?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12766375#action_12766375
] 

Scott Chen commented on MAPREDUCE-961:
--------------------------------------

>how do you intend to use it?
We are planing to use this on MAPREDUCE-1044. The idea is to use the information to decide
whether to move a TT from one cluster to another. I will also survey the possibility of using
metrics api. Thanks.

>Perhaps. But I think eventually we should move inside the framework. 
I agree. Moving this inside the framework is a better design. I will follow your suggestion
to build this inside the framework. In the meantime, we will keep testing these independent
daemons on our clusters.

> ResourceAwareLoadManager to dynamically decide new tasks based on current CPU/memory
load on TaskTracker(s)
> -----------------------------------------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-961
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-961
>             Project: Hadoop Map/Reduce
>          Issue Type: New Feature
>          Components: contrib/fair-share
>            Reporter: dhruba borthakur
>            Assignee: dhruba borthakur
>         Attachments: HIVE-961.patch
>
>
> Design and develop a ResouceAwareLoadManager for the FairShare scheduler that dynamically
decides how many maps/reduces to run on a particular machine based on the CPU/Memory/diskIO/network
usage in that machine.  The amount of resources currently used on each task tracker is being
fed into the ResourceAwareLoadManager in real-time via an entity that is external to Hadoop.

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