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https://issues.apache.org/jira/browse/YARN-3806?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14589236#comment-14589236
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Wei Shao commented on YARN-3806:
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One more comment :)

Regarding YARN-3318. Yes, this proposal also proposed a general scheduling 
interface by which specific policies(like fair/capacity) can work within the 
scheduling framework. The interface provides ordering polices, etc., and should 
be implemented by specific policies.

> Proposal of Generic Scheduling Framework for YARN
> -------------------------------------------------
>
>                 Key: YARN-3806
>                 URL: https://issues.apache.org/jira/browse/YARN-3806
>             Project: Hadoop YARN
>          Issue Type: Improvement
>          Components: scheduler
>            Reporter: Wei Shao
>         Attachments: ProposalOfGenericSchedulingFrameworkForYARN-V1.0.pdf, 
> ProposalOfGenericSchedulingFrameworkForYARN-V1.1.pdf
>
>
> Currently, a typical YARN cluster runs many different kinds of applications: 
> production applications, ad hoc user applications, long running services and 
> so on. Different YARN scheduling policies may be suitable for different 
> applications. For example, capacity scheduling can manage production 
> applications well since application can get guaranteed resource share, fair 
> scheduling can manage ad hoc user applications well since it can enforce 
> fairness among users. However, current YARN scheduling framework doesn’t have 
> a mechanism for multiple scheduling policies work hierarchically in one 
> cluster.
> YARN-3306 talked about many issues of today’s YARN scheduling framework, and 
> proposed a per-queue policy driven framework. In detail, it supported 
> different scheduling policies for leaf queues. However, support of different 
> scheduling policies for upper level queues is not seriously considered yet. 
> A generic scheduling framework is proposed here to address these limitations. 
> It supports different policies for any queue consistently. The proposal tries 
> to solve many other issues in current YARN scheduling framework as well.



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