• DocumentCode
    1605752
  • Title

    Green cloud VM migration: Power use analysis

  • Author

    Aikema, David ; Mirtchovski, Andrey ; Kiddle, Cameron ; Simmonds, Rob

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    To migrate virtual machines requires not only time but also energy. If pursuing a follow-the-renewables computing paradigm, migrating virtual machines between data centres on the basis of clean energy availability, understanding not only the time requirements of migration but also its energy consumption is key. Existing research has paid little attention to the energy required to perform virtual machine migrations however. In this paper we present the results of an experimental study focused on the power and energy consumption of various workloads throughout the migration process. We also discuss challenges encountered during the study restricting our ability to migrate certain types of workloads. Based on our analysis we draw conclusions about the types of workloads suitable for migration and the manner in which each can be most effectively migrated.
  • Keywords
    computer centres; power consumption; virtual machines; clean energy availability; data centres; energy consumption; follow-the-renewables computing paradigm; green cloud VM migration; power consumption; power use analysis; time requirements; virtual machine migrations; Benchmark testing; Energy consumption; Green products; Monitoring; Power demand; Random access memory; Virtual machining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing Conference (IGCC), 2012 International
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4673-2155-6
  • Electronic_ISBN
    978-1-4673-2153-2
  • Type

    conf

  • DOI
    10.1109/IGCC.2012.6322249
  • Filename
    6322249