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Regression Cloud Models and Their Applications in Energy Consumption of Data Center
Joint Authors
Zhou, Yanshuang
Li, Na
Li, Hong
Zhang, Yongqiang
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
As cloud data center consumes more and more energy, both researchers and engineers aim to minimize energy consumption while keeping its services available.
A good energy model can reflect the relationships between running tasks and the energy consumed by hardware and can be further used to schedule tasks for saving energy.
In this paper, we analyzed linear and nonlinear regression energy model based on performance counters and system utilization and proposed a support vector regression energy model.
For performance counters, we gave a general linear regression framework and compared three linear regression models.
For system utilization, we compared our support vector regression model with linear regression and three nonlinear regression models.
The experiments show that linear regression model is good enough to model performance counters, nonlinear regression is better than linear regression model for modeling system utilization, and support vector regression model is better than polynomial and exponential regression models.
American Psychological Association (APA)
Zhou, Yanshuang& Li, Na& Li, Hong& Zhang, Yongqiang. 2015. Regression Cloud Models and Their Applications in Energy Consumption of Data Center. Journal of Electrical and Computer Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1068075
Modern Language Association (MLA)
Zhou, Yanshuang…[et al.]. Regression Cloud Models and Their Applications in Energy Consumption of Data Center. Journal of Electrical and Computer Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1068075
American Medical Association (AMA)
Zhou, Yanshuang& Li, Na& Li, Hong& Zhang, Yongqiang. Regression Cloud Models and Their Applications in Energy Consumption of Data Center. Journal of Electrical and Computer Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1068075
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1068075