MOON: MapReduce On Opportunistic eNvironments

@inproceedings{Lin2010MOONMO,
  title={MOON: MapReduce On Opportunistic eNvironments},
  author={Heshan Lin and Xiaosong Ma and Jeremy S. Archuleta and Wu-chun Feng and Mark K. Gardner and Zhe Zhang},
  booktitle={HPDC '10},
  year={2010}
}
MapReduce offers an ease-of-use programming paradigm for processing large data sets, making it an attractive model for distributed volunteer computing systems. [] Key Method MOON extends Hadoop, an open-source implementation of MapReduce, with adaptive task and data scheduling algorithms in order to offer reliable MapReduce services on a hybrid resource architecture, where volunteer computing systems are supplemented by a small set of dedicated nodes. Our tests on an emulated volunteer computing system…

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