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https://issues.apache.org/jira/browse/STORM-632?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14296747#comment-14296747
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Gianmarco De Francisci Morales commented on STORM-632:
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Hi,
Is there anything else needed to push this forward? Can we merge it?
> New grouping for better load balancing
> --------------------------------------
>
> Key: STORM-632
> URL: https://issues.apache.org/jira/browse/STORM-632
> Project: Apache Storm
> Issue Type: New Feature
> Reporter: Gianmarco De Francisci Morales
>
> Hi,
> We have recently studied the problem of load balancing in Storm [1].
> In particular, we focused on what happens when the key distribution of the
> stream is skewed when using key grouping.
> We developed a new stream partitioning scheme (which we call Partial Key
> Grouping). It achieves better load balancing than key grouping while being
> more scalable than shuffle grouping in terms of memory.
> In the paper we show a number of mining algorithms that are easy to implement
> with partial key grouping, and whose performance can benefit from it. We
> think that it might also be useful for a larger class of algorithms.
> We don't have experience in Clojure, however partial key grouping is very
> easy to implement: it requires just a few lines of code in Java when
> implemented as a custom grouping in Storm [2].
> We believe it should be very easy to port from Java.
> For all these reasons, we believe it will be a nice addition to the standard
> groupings available in Storm. If the community thinks it's a good idea, we
> will be happy to offer support in the porting.
> References:
> [1]
> https://melmeric.files.wordpress.com/2014/11/the-power-of-both-choices-practical-load-balancing-for-distributed-stream-processing-engines.pdf
> [2] https://github.com/gdfm/partial-key-grouping
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