Stochastic Modeling and Optimization of Stragglers.

IEEE Transactions on Cloud Computing(2018)

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摘要
MapReduce framework is widely used to parallelize batch jobs since it exploits a high degree of multi-tasking to process them. However, it has been observed that when the number of servers increases, the map phase can take much longer than expected. This paper analytically shows that the stochastic behavior of the servers has a negative effect on the completion time of a MapReduce job, and continu...
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关键词
Servers,Stochastic processes,Computational modeling,Delays,Optimal scheduling,Cloud computing,Synchronization
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