Orchestrating an Ensemble of MapReduce Jobs for Minimizing Their Makespan

@article{Verma2013OrchestratingAE,
  title={Orchestrating an Ensemble of MapReduce Jobs for Minimizing Their Makespan},
  author={Abhishek Verma and Ludmila Cherkasova and Roy H. Campbell},
  journal={IEEE Transactions on Dependable and Secure Computing},
  year={2013},
  volume={10},
  pages={314-327}
}
Cloud computing offers an attractive option for businesses to rent a suitable size MapReduce cluster, consume resources as a service, and pay only for resources that were consumed. A key challenge in such environments is to increase the utilization of MapReduce clusters to minimize their cost. One way of achieving this goal is to optimize the execution of Mapreduce jobs on the cluster. For a set of production jobs that are executed periodically on new data, we can perform an offline analysis… CONTINUE READING
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