Resource Management for Dynamic MapReduce Clusters in Multicluster Systems

  title={Resource Management for Dynamic MapReduce Clusters in Multicluster Systems},
  author={Bogdan Ghit and Nezih Yigitbasi and Dick H. J. Epema},
  journal={2012 SC Companion: High Performance Computing, Networking Storage and Analysis},
State-of-the-art MapReduce frameworks such as Hadoop can easily scale up to thousands of machines and to large numbers of users. Nevertheless, some users may require isolated environments to develop their applications and to process their data, which calls for multiple deployments of MR clusters within the same physical infrastructure. In this paper, we design and implement a resource management system to facilitate the on-demand isolated deployment of MapReduce clusters in multicluster systems… CONTINUE READING
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