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Optimizing Performance of Hadoop with Parameter Tuning

Chen Xiang, Liang Yi, Li Guang-Rui and 2 more

ITM Web of Conferences · 2017

doi:10.1051/itmconf/20171203040 (opens in a new tab)

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Abstract

Optimizing Hadoop with the parameter tuning is an effective way to greatly improve the performance, but it usually costs too much time to identify the optimal parameters configuration because there are many parameters. Users are always blindly adjust too many parameters and are sometimes confused about which one could be changed at a higher-priority. To make optimization easier, classifying the parameter based on different applications will be helpful. In this paper, we will introduce a method that can classify these parameters in order that users can optimize performance more quickly and effectively for different applications.

Abstract licence: CC BY

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