Energy-Aware Scheduling of MapReduce Jobs for Big Data Applications
The majority of large-scale data intensive applications executed by data centers are based on MapReduce or its open-source implementation, Hadoop. Such applications are executed on large clusters requiring large amounts of energy, making the energy costs a considerable fraction of the data center...
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Veröffentlicht in: | IEEE transactions on parallel and distributed systems 2015-10, Vol.26 (10), p.2720-2733 |
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