Mitigating Service Variability in MapReduce Clusters via Task Cloning: A Competitive Analysis.

IEEE Transactions on Parallel and Distributed Systems(2017)

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摘要
Measurement traces from real-world production environment show that the execution time of tasks within a MapReduce job varies widely due to the variability in machine service capacity. This variability issue makes efficient job scheduling over large-scale MapReduce clusters extremely challenging. To tackle this problem, we adopt the task cloning approach to mitigate the effect of machine variabili...
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关键词
Cloning,Redundancy,Algorithm design and analysis,Scheduling,Electronic mail,Scheduling algorithms
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