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Scheduling In Mapreduce Clusters, Chen He
Scheduling In Mapreduce Clusters, Chen He
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
MapReduce is a framework proposed by Google for processing huge amounts of data in a distributed environment. The simplicity of the programming model and the fault-tolerance feature of the framework make it very popular in Big Data processing.
As MapReduce clusters get popular, their scheduling becomes increasingly important. On one hand, many MapReduce applications have high performance requirements, for example, on response time and/or throughput. On the other hand, with the increasing size of MapReduce clusters, the energy-efficient scheduling of MapReduce clusters becomes inevitable. These scheduling challenges, however, have not been systematically studied.
The objective of this dissertation is to …