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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