Power Metering for Virtual Machine in Cloud Computing-Challenges and Opportunities

被引:26
|
作者
Gu, Chonglin
Huang, Hejiao [1 ]
Jia, Xiaohua
机构
[1] Harbin Inst Technol, Shenzhen Grad Sch, Dept Comp Sci & Technol, Shenzhen 150001, Peoples R China
来源
IEEE ACCESS | 2014年 / 2卷
基金
中国国家自然科学基金;
关键词
Virtual machine; cloud computing; power metering; PERFORMANCE;
D O I
10.1109/ACCESS.2014.2358992
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1106 / 1116
页数:11
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