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The Correlation Analysis for the Service Energy Consumption Index of CPU |
Zhai Chang1,2,He Fang3,4,∗ ,Zhao Tongzhou1,2,Zhou Ping1,2,Li Mu1,2 |
School of Computer Science and Engineering,Wuhan Institute of Technology
Hubei Key Laboratory of Intelligent Robot
Hubei University of Technology
Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences |
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Abstract The widespread use of computers brings a large number of computational tasks, leading to the increasing energy consumption.
CPU undertakes the main task of computing, so it is necessary to analyze the energy consumption index to search the important
factors that have influence to energy consumption. It can provide the basis for the service selection of green efficiency. This
paper uses the energy consumption monitor to collect the data, constructs multiple regression models and makes univariate and multivariate
correlation analysis which uses the goodness of fit to evaluate the models. Experiments show that the multivariate model
can well fit the whole sample data after excluding the outliers with Mahalanobis distance.
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Published: 15 November 2017
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