DocumentCode :
77127
Title :
Power Metering for Virtual Machine in Cloud Computing-Challenges and Opportunities
Author :
Gu, Chen ; Huang, Heng ; Jia, Xiuping
Author_Institution :
Department of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China
Volume :
2
fYear :
2014
fDate :
2014
Firstpage :
1106
Lastpage :
1116
Abstract :
The virtual machine (VM) is the most basic unit for virtualization and resource allocation. The study of VM power metering is the key to reducing the power consumption of data centers. In this paper, we make a comprehensive investigation in issues regarding VM power metering, including server models, sampling, VM power metering methods, and the accuracy of the methods. We will review many up-to-date power metering methods in this paper, and analyze their efficiencies, as well as evaluate their performance. Open research issues, such as VM service billing, power budgeting, and energy saving scheduling, are discussed, with an objective to spark new research interests in this field.
Keywords :
Cloud computing; Meter reading; Power demand; Power distribution; Power system economics; Power system measurements; Resource management; Virtual machining; Virtualization; Virtual machine; cloud computing; power metering;
fLanguage :
English
Journal_Title :
Access, IEEE
Publisher :
ieee
ISSN :
2169-3536
Type :
jour
DOI :
10.1109/ACCESS.2014.2358992
Filename :
6905704
Link To Document :
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