Center-of-Gravity Reduce Task Scheduling to Lower MapReduce Network Traffic

@article{Hammoud2012CenterofGravityRT,
  title={Center-of-Gravity Reduce Task Scheduling to Lower MapReduce Network Traffic},
  author={Mohammad Hammoud and M. Suhail Rehman and Majd F. Sakr},
  journal={2012 IEEE Fifth International Conference on Cloud Computing},
  year={2012},
  pages={49-58}
}
MapReduce is by far one of the most successful realizations of large-scale data-intensive cloud computing platforms. MapReduce automatically parallelizes computation by running multiple map and/or reduce tasks over distributed data across multiple machines. Hadoop is an open source implementation of MapReduce. When Hadoop schedules reduce tasks, it neither exploits data locality nor addresses partitioning skew present in some MapReduce applications. This might lead to increased cluster network… CONTINUE READING
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