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SSS is an ongoing project on high-performance MapReduce implementation in AIST. SSS uses distributed Key Value Store as a base storage, instead of file system like HDFS.

The features includes:

  • fast iteration thanks owner compute rule
  • flexible workflow management
  • 'merge reducer' which performs 'equi-join' in a step
  • continuous map / reduce for stream computation.

Project Home Page is http://sss.apgrid.org/ .

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