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https://issues.apache.org/jira/browse/YARN-2915?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14617709#comment-14617709
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Subru Krishnan commented on YARN-2915:
--------------------------------------

[~grey] Thanks for taking a look at our design proposal and your pertinent 
question. Adding to [~curino]'s answer while we are planning to evaluate 
cross-DC workloads as the architecture is generic for the control flow (job 
scheduling) as you rightly observed, the data movement across DCs itself may 
prove prohibitive. So our fallback plan is to have a StateStore per DC and have 
jobs restricted to within a DC and have a simple rules based global router that 
redirects user request to the target DC.  

> Enable YARN RM scale out via federation using multiple RM's
> -----------------------------------------------------------
>
>                 Key: YARN-2915
>                 URL: https://issues.apache.org/jira/browse/YARN-2915
>             Project: Hadoop YARN
>          Issue Type: New Feature
>          Components: nodemanager, resourcemanager
>            Reporter: Sriram Rao
>            Assignee: Subru Krishnan
>         Attachments: FEDERATION_CAPACITY_ALLOCATION_JIRA.pdf, 
> Yarn_federation_design_v1.pdf
>
>
> This is an umbrella JIRA that proposes to scale out YARN to support large 
> clusters comprising of tens of thousands of nodes.   That is, rather than 
> limiting a YARN managed cluster to about 4k in size, the proposal is to 
> enable the YARN managed cluster to be elastically scalable.  



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