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WaxElephant: A Realistic Hadoop Simulator for Parameters Tuning and Scalability Analysis
2012
2012 Seventh ChinaGrid Annual Conference
MapReduce is becoming the state-of-the-art computation paradigm for processing large-scale datasets on a large cluster with tens or thousands of nodes. Hadoop, an open-source implementation of MapReduce framework, has gained much popularity due to its high scalability and performance. Two challenging issues for a large-scale Hadoop cluster are how to analyze the scalability and identify the optimal parameters configurations. To address these issues, we designed and implemented a Hadoop
doi:10.1109/chinagrid.2012.25
dblp:conf/chinagrid/RenLXWSZ12
fatcat:6ed3oni6abcmjhqxyzmmdjoaba