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https://issues.apache.org/jira/browse/YARN-45?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13628922#comment-13628922
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Carlo Curino commented on YARN-45:
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Our main focus for now is to rebalance capacity, in this sense yes location is
not important.
However, one can envision the use of preemption also for other things, e.g., to
build a monitor that
tries to improve data-locality by issuing (a moderate amount of) "relocations"
of a container (probably
riding the same checkpointing mechanics we are bulding for MR).
This is another case where container-based preemption can turn out to be
useful. (This is at the moment
just a speculation).
> Scheduler feedback to AM to release containers
> ----------------------------------------------
>
> Key: YARN-45
> URL: https://issues.apache.org/jira/browse/YARN-45
> Project: Hadoop YARN
> Issue Type: Improvement
> Components: resourcemanager
> Reporter: Chris Douglas
> Assignee: Carlo Curino
> Attachments: YARN-45.patch
>
>
> The ResourceManager strikes a balance between cluster utilization and strict
> enforcement of resource invariants in the cluster. Individual allocations of
> containers must be reclaimed- or reserved- to restore the global invariants
> when cluster load shifts. In some cases, the ApplicationMaster can respond to
> fluctuations in resource availability without losing the work already
> completed by that task (MAPREDUCE-4584). Supplying it with this information
> would be helpful for overall cluster utilization [1]. To this end, we want to
> establish a protocol for the RM to ask the AM to release containers.
> [1] http://research.yahoo.com/files/yl-2012-003.pdf
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