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The term edge based cloud computing refers to a network of edge systems that provide the services currently provided by data center clouds. In this paper the authors present modifications to MRPerf, an existing tool used to simulate MapReduce in data center clouds, enabling it to simulate Hadoop MapReduce jobs in edge networks. The results indicate that the default Hadoop scheduler does not perform optimally in an edge environment and should be replaced. They also conclude that bandwidth is not a limiting factor in some MapReduce jobs for capacities that are even available in some residential areas.
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