• DocumentCode
    3578869
  • Title

    Energy efficient virtual machine provisioning in cloud data centers

  • Author

    Akhter, Nasrin ; Othman, Mohamed

  • Author_Institution
    Dept. of Comm. Technology and Network, Universiti Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia
  • fYear
    2014
  • Firstpage
    330
  • Lastpage
    334
  • Abstract
    A cloud data center consumes a great amount of electrical energy, resulting in a high level of carbon footprint. The reduction of electrical power consumption cuts down operational costs, and also improves system reliability for cloud based data centers. Data center power consumption is a critical issue that could be solved by consolidating servers´ workload and turning off idle physical servers. We propose a heuristic based resource allocation policy for cloud based data centers in order to reduce operational costs. Our proposed technique shows that efficient resource allocation greatly reduces energy consumption, which leads to minimize operational costs. One of the more significant findings to emerge from this study is that, based on CPU utilization and live migration, proposed algorithm helps to minimize energy costs. The present study provides additional evidence with respect to environmental issues.
  • Keywords
    Cloud computing; Computational modeling; Energy consumption; Heuristic algorithms; Resource management; Servers; Virtual machining; Data Center; Migration of Virtual machines; Power Consumption; Power Saving; Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunication Technologies (ISTT), 2014 IEEE 2nd International Symposium on
  • Type

    conf

  • DOI
    10.1109/ISTT.2014.7238230
  • Filename
    7238230