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  1. Hadoop YARN
  2. YARN-2915

Enable YARN RM scale out via federation using multiple RM's

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      A federation-based approach to transparently scale a single YARN cluster to tens of thousands of nodes, by federating multiple YARN standalone clusters (sub-clusters). The applications running in this federated environment will see a single massive YARN cluster and will be able to schedule tasks on any node of the federated cluster. Under the hood, the federation system will negotiate with sub-clusters ResourceManagers and provide resources to the application. The goal is to allow an individual job to “span” sub-clusters seamlessly.
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      A federation-based approach to transparently scale a single YARN cluster to tens of thousands of nodes, by federating multiple YARN standalone clusters (sub-clusters). The applications running in this federated environment will see a single massive YARN cluster and will be able to schedule tasks on any node of the federated cluster. Under the hood, the federation system will negotiate with sub-clusters ResourceManagers and provide resources to the application. The goal is to allow an individual job to “span” sub-clusters seamlessly.

    Description

      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.

      Attachments

        1. FEDERATION_CAPACITY_ALLOCATION_JIRA.pdf
          751 kB
          Carlo Curino
        2. Federation-BoF.pdf
          909 kB
          Subramaniam Krishnan
        3. federation-prototype.patch
          729 kB
          Subramaniam Krishnan
        4. Yarn_federation_design_v1.pdf
          787 kB
          Subramaniam Krishnan
        5. YARN-Federation-Hadoop-Summit_final.pptx
          182 kB
          Subramaniam Krishnan

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              subru Subramaniam Krishnan
              sriramsrao Sriram Rao
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