• 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