Energy-Aware Scheduling of MapReduce Jobs for Big Data Applications

@article{Mashayekhy2015EnergyAwareSO,
  title={Energy-Aware Scheduling of MapReduce Jobs for Big Data Applications},
  author={Lena Mashayekhy and Mahyar Movahed Nejad and Daniel Grosu and Quan Zhang and Weisong Shi},
  journal={IEEE Transactions on Parallel and Distributed Systems},
  year={2015},
  volume={26},
  pages={2720-2733}
}
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's overall costs. Therefore minimizing the energy consumption when executing each MapReduce job is a critical concern for data centers. In this paper, we propose a framework for improving the energy… CONTINUE READING
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