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Date: Sat, 20 Jun 2015 02:33:04 +0000 (UTC)
From: "Wei Shao (JIRA)" <jira@apache.org>
To: yarn-issues@hadoop.apache.org
Message-ID: <JIRA.12838037.1434426977000.126332.1434767584011@Atlassian.JIRA>
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 <JIRA.12838037.1434426977903@arcas>
Subject: [jira] [Updated] (YARN-3806) Proposal of Generic Scheduling
 Framework for YARN
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     [ https://issues.apache.org/jira/browse/YARN-3806?page=3Dcom.atlassian=
.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wei Shao updated YARN-3806:
---------------------------
    Attachment: ProposalOfGenericSchedulingFrameworkForYARN-V1.05.pdf

> 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-V1.05.pd=
f
>
>
> Currently, a typical YARN cluster runs many different kinds of applicatio=
ns: production applications, ad hoc user applications, long running service=
s and so on. Different YARN scheduling policies may be suitable for differe=
nt applications. For example, capacity scheduling can manage production app=
lications well since application can get guaranteed resource share, fair sc=
heduling can manage ad hoc user applications well since it can enforce fair=
ness among users. However, current YARN scheduling framework doesn=E2=80=99=
t have a mechanism for multiple scheduling policies work hierarchically in =
one cluster.
> YARN-3306 talked about many issues of today=E2=80=99s YARN scheduling fra=
mework, and proposed a per-queue policy driven framework. In detail, it sup=
ported different scheduling policies for leaf queues. However, support of d=
ifferent scheduling policies for upper level queues is not seriously consid=
ered yet.=20
> A generic scheduling framework is proposed here to address these limitati=
ons. It supports different policies (fair, capacity, fifo and so on) for an=
y queue consistently. The proposal tries to solve many other issues in curr=
ent YARN scheduling framework as well.
> Two new proposed scheduling policies YARN-3807 & YARN-3808 are based on g=
eneric scheduling framework brought up in this proposal.


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