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    ARTICLE

    Run-Time Dynamic Resource Adjustment for Mitigating Skew in MapReduce

    Zhihong Liu1, Shuo Zhang2,*, Yaping Liu2, Xiangke Wang1, Dong Yin1

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.2, pp. 771-790, 2021, DOI:10.32604/cmes.2021.013244

    Abstract MapReduce is a widely used programming model for large-scale data processing. However, it still suffers from the skew problem, which refers to the case in which load is imbalanced among tasks. This problem can cause a small number of tasks to consume much more time than other tasks, thereby prolonging the total job completion time. Existing solutions to this problem commonly predict the loads of tasks and then rebalance the load among them. However, solutions of this kind often incur high performance overhead due to the load prediction and rebalancing. Moreover, existing solutions target the… More >

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