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From "Min Zhou (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAPREDUCE-279) Map-Reduce 2.0
Date Sat, 26 Feb 2011 08:45:22 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-279?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12999745#comment-12999745
] 

Min Zhou commented on MAPREDUCE-279:
------------------------------------

@Arun

How does ApplicationMaster know its resource requirements before it launches tasks? IMHO,
the biggest problem of resources allocation is that we could't determine the CPU/memory/disk/network
requirements unless when the task is running. User defined requirements by the configuration
files are always improper. 
>From your words, the architecture allows end-users to implement any application-specific
framework by implementing a custom ApplicationMaster. Even common users can deploy their ApplicationMaster
over the cluster they have no any permissions on that? Can you illustrate how to achieve it?

> Map-Reduce 2.0
> --------------
>
>                 Key: MAPREDUCE-279
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-279
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>          Components: jobtracker, tasktracker
>            Reporter: Arun C Murthy
>            Assignee: Arun C Murthy
>             Fix For: 0.23.0
>
>
> Re-factor MapReduce into a generic resource scheduler and a per-job, user-defined component
that manages the application execution. 

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