The Community for Technology Leaders
2016 International Conference on Big Data and Smart Computing (BigComp) (2016)
Hong Kong, China
Jan. 18, 2016 to Jan. 20, 2016
ISSN: 2375-9356
ISBN: 978-1-4673-8795-8
pp: 265-268
Sangmyeon Park , Computer Science and Engineering, Soongsil Univ., Seoul, Korea
Youngsong Mun , Computer Science and Engineering, Soongsil Univ., Seoul, Korea
ABSTRACT
Cloud computing technologies are suited for reducing costs of maintaining IT infrastructure and initial investment. As cloud computing is developed, problems of power consumption for maintaining the cloud computing environment are occurred. So, several studies for reducing power consumption have been performed. However study for predicting power consumption in cloud computing environment is insufficient. Thus, we propose a prediction method about power consumption by using utilization rate of CPU, Memory, and Hard disk. Also, to prove accuracy of our prediction method, we perform CPU test to compare and analyze predictive power consumption and actual power consumption. As a result, average error rate between the predictive power consumption and actual power consumption value is about 4.22% in the CPU test.
INDEX TERMS
Power demand, Cloud computing, Computers, Prediction methods, Hard disks, Power measurement, Monitoring
CITATION

S. Park and Youngsong Mun, "Prediction method about power consumption by using utilization rate of resource in cloud computing environment," 2016 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Hong Kong, China, 2016, pp. 265-268.
doi:10.1109/BIGCOMP.2016.7425924
88 ms
(Ver 3.3 (11022016))