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Dynamically controlling node-level parallelim in HadooDynamically controlling node-level parallelism in Hadoop
Kamal Kc Vincent W. Freeh
In this work, we develop an approach to dynamically change the parallelism for concurrent containers to suit an application. Our approach ensures efficient utilization of resources and avoids bottlenecks for all types of MapReduce applications. Our approach improves performance of MapReduce applications by as much as 28% and 60% respectively when compared to the best practice and
default settings.
Dynamically controlling node-level parallelism in Hadoop.pdf
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