Please use this identifier to cite or link to this item: http://dl.pgu.ac.ir/handle/2142/14819
Title: Breaking the MapReduce Stage Barrier
Keywords: MapReduce;Cloud Computing
Issue Date: 19-Jan-2010
Description: The MapReduce model uses a barrier between the Map and Reduce stages. This provides simplicity in both programming and implementation. However, in many situations, this barrier hurts performance because it is overly restrictive. Thus, we develop a method to break the barrier in MapReduce in a way that improves efficiency. Careful design of our barrier-less MapReduce framework results in equivalent generality and retains ease of programming. We motivate our case with, and experimentally study our barrier-less techniques in, a wide variety of MapReduce applications divided into seven classes. Our experiments show that our approach can achieve better performance times than a traditional MapReduce framework. We achieve a reduction in job completion times that is 25% on average and 87% in the best case.;published or submitted for publication
URI: https://www.ideals.illinois.edu/handle/2142/14819
Type Of Material: OTHER
OTHER
Appears in Collections:College of Engineering

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