Load balancing in MapReduce on homogeneous and heterogeneous clusters: an in-depth review

@article{Kargar2015LoadBI,
  title={Load balancing in MapReduce on homogeneous and heterogeneous clusters: an in-depth review},
  author={Mohammad Javad Kargar and Meysam Vakili},
  journal={IJCNDS},
  year={2015},
  volume={15},
  pages={149-168}
}
Numbers of various programming models have been proposed to process big data in recent years. However, MapReduce is the most famous programming model amongst cloud computing environments and includes many advantages, yet there are several challenges to deal with. Load balancing is considered as one of the most significant downsides of MapReduce which causes the increase in applications’ runtime and accordingly results in less-efficiency, where there is no appropriate proposed mechanism… CONTINUE READING

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