A Novel Configuration Tuning Method Based on Feature Selection for Hadoop MapReduce

A Novel Configuration Tuning Method Based on Feature Selection for Hadoop MapReduce

Configuration parameter optimization is an important means of improving the performance of the MapReduce model. The existing parameter tuning methods usually optimize all configuration parameters in MapReduce. However, it is exceedingly challenging to tune all the parameters for the MapReduce model...

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Bibliographic Details
Main Authors: Jun Liu, Sule Tang, Guangxia Xu, Chuang Ma, Mingwei Lin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Parameter tuning
Hadoop MapReduce
kernel function
K-means
Online Access:https://ieeexplore.ieee.org/document/9055442/

Internet

https://ieeexplore.ieee.org/document/9055442/

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