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Locality-aware dynamic VM reconfiguration on MapReduce clouds
Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing - HPDC '12
Cloud computing based on system virtualization, has been expanding its services to distributed data-intensive platforms such as MapReduce and Hadoop. Such a distributed platform on clouds runs in a virtual cluster consisting of a number of virtual machines. In the virtual cluster, demands on computing resources for each node may fluctuate, due to data locality and task behavior. However, current cloud services use a static cluster configuration, fixing or manually adjusting the computingdoi:10.1145/2287076.2287082 dblp:conf/hpdc/ParkLKHM12 fatcat:hvb5mh7hprbehj2n5dqdg4n2u4