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From <Milind.Bhandar...@emc.com>
Subject Re: Adding Elasticity to Hadoop MapReduce
Date Mon, 19 Sep 2011 19:37:35 GMT
>
>
>
>These are all good ideas. The other trick -which has been discussed
>recently in the context of the Platform Scheduler- is to run HDFS across
>all nodes, but switch the workload of the cluster between Hadoop jobs
>(MR, Graph, Hamster), and other work (Grid jobs). That way the
>filesystem is just a very large FS for anything. If some grid jobs don't
>use the HDFS, the nodes can still serve up their data.

This used to be called Hadoop On Demand (HoD), which used to deploy a
mapreduce cluster on-demand, using torque to allocate nodes. :-)

- milind

---
Milind Bhandarkar
Greenplum Labs, EMC
(Disclaimer: Opinions expressed in this email are those of the author, and
do not necessarily represent the views of any organization, past or
present, the author might be affiliated with.)


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