Modeling and Analyzing Key Performance Factors of Shared Memory MapReduce

@article{Tiwari2012ModelingAA,
  title={Modeling and Analyzing Key Performance Factors of Shared Memory MapReduce},
  author={Devesh Tiwari and Yan Solihin},
  journal={2012 IEEE 26th International Parallel and Distributed Processing Symposium},
  year={2012},
  pages={1306-1317}
}
MapReduce parallel programming model has seen wide adoption in data center applications. Recently, lightweight, fast, in-memory MapReduce runtime systems have been proposed for shared memory systems. However, what factors affect performance and what performance bottlenecks exist for a given program, are not well understood. This paper builds an analytical model to capture key performance factors of shared memory MapReduce and investigates important performance trends and behavior. Our study… CONTINUE READING

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