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https://issues.apache.org/jira/browse/YARN-624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13662352#comment-13662352
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Robert Joseph Evans commented on YARN-624:
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Storm is a real-time stream processing system.  We are working on porting this 
to run on YARN.  Storm will process one or more streams of data using a logical 
DAG of processing nodes called a topology.  This topology runs in spawned 
processes. If there are not enough processes to run a topology there is no 
point in launching any of the processes.  Hence the need for gang scheduling.

It is a very simple gang scheduling use case currently.  When a new topology is 
submitted we want to request enough resources to to run that topology.  If a 
node goes down, we are going to request enough resources to replace it, so we 
can get up and running again ASAP.  When a topology is killed we want to 
release those resources.

Long term we would like to make sure that the different containers are close to 
each other from a network topology perspective. We don't care which node or 
rack the containers are on, but we do care that they are all on the same 
node/rack as the other containers.
                
> Support gang scheduling in the AM RM protocol
> ---------------------------------------------
>
>                 Key: YARN-624
>                 URL: https://issues.apache.org/jira/browse/YARN-624
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: api, scheduler
>    Affects Versions: 2.0.4-alpha
>            Reporter: Sandy Ryza
>            Assignee: Sandy Ryza
>
> Per discussion on YARN-392 and elsewhere, gang scheduling, in which a 
> scheduler runs a set of tasks when they can all be run at the same time, 
> would be a useful feature for YARN schedulers to support.
> Currently, AMs can approximate this by holding on to containers until they 
> get all the ones they need.  However, this lends itself to deadlocks when 
> different AMs are waiting on the same containers.

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