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https://issues.apache.org/jira/browse/YARN-1680?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14529600#comment-14529600
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Vinod Kumar Vavilapalli commented on YARN-1680:
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Please leave out the head-room concerns w.r.t node-labels. IIRC, we had tickets 
at YARN-796 tracking that. It is very likely a completely different solution, 
so.

There is no notion of a cluster-level blacklisting in YARN. We have notions of 
unhealthy/lost/decommissioned nodes in a cluster. When such events happens, 
Applications are already informed of these events via the heartbeats, and the 
head-room automatically changes when nodes get removed that way.

Coming to the app-level blacklisting, clearly, the solution proposed is better 
than dead-locks. But blindly reducing the resources corresponding to 
blacklisted nodes will result in under-utilization (sometimes massively) and 
over-conservative scheduling requests by apps. One way to resolve this is to 
get the apps (or optionally in the AMRMClient library) to deduct the resource 
unusable on blacklisted nodes.

> availableResources sent to applicationMaster in heartbeat should exclude 
> blacklistedNodes free memory.
> ------------------------------------------------------------------------------------------------------
>
>                 Key: YARN-1680
>                 URL: https://issues.apache.org/jira/browse/YARN-1680
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: capacityscheduler
>    Affects Versions: 2.2.0, 2.3.0
>         Environment: SuSE 11 SP2 + Hadoop-2.3 
>            Reporter: Rohith
>            Assignee: Craig Welch
>         Attachments: YARN-1680-WIP.patch, YARN-1680-v2.patch, 
> YARN-1680-v2.patch, YARN-1680.patch
>
>
> There are 4 NodeManagers with 8GB each.Total cluster capacity is 32GB.Cluster 
> slow start is set to 1.
> Job is running reducer task occupied 29GB of cluster.One NodeManager(NM-4) is 
> become unstable(3 Map got killed), MRAppMaster blacklisted unstable 
> NodeManager(NM-4). All reducer task are running in cluster now.
> MRAppMaster does not preempt the reducers because for Reducer preemption 
> calculation, headRoom is considering blacklisted nodes memory. This makes 
> jobs to hang forever(ResourceManager does not assing any new containers on 
> blacklisted nodes but returns availableResouce considers cluster free 
> memory). 



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