Verma, Abhishek; Zea, Nicolas; Cho, Brian; Gupta, Indranil; Campbell, Roy H.
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https://hdl.handle.net/2142/14819
Description
Title
Breaking the MapReduce Stage Barrier
Author(s)
Verma, Abhishek
Zea, Nicolas
Cho, Brian
Gupta, Indranil
Campbell, Roy H.
Issue Date
2010-01-19
Keyword(s)
MapReduce
Cloud Computing
Abstract
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.
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