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The MapReduce framework has become the de facto scheme for scalable semi-structured and un-structured data processing in recent years. The Hadoop ecosystem has evolved into its second generation, Hadoop YARN, which adopts finegrained resource management schemes for job scheduling. One of the primary performance concerns in YARN is how to minimize the total completion length, i.e., makespan, of a set of MapReduce jobs. However, the precedence constraint or fairness constraint in current widelydoi:10.1109/cloud.2014.34 dblp:conf/IEEEcloud/YaoWSLM14 fatcat:42uwcmesbjbzlhbdrytcx3i6jm