• DocumentCode
    3677859
  • Title

    Prediction Based Energy Efficient Virtual Machine Consolidation in Cloud Computing

  • Author

    Naveen Kumar Gondhi;Paras Kailu

  • Author_Institution
    Sch. of Comput. Sci. &
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    437
  • Lastpage
    441
  • Abstract
    Cloud computing enables the web hosting of computing resources, applications to be available for consumers on a pay-per-use basis making it quite popular and need of today´s world. With this, the demand for computational power has increased manifolds which led to the creation of large-scale cloud data centres. These data centres have large electrical power consumption and thus the cost of operation and maintenance, has become a major issue in cloud computing. Therefore we need to find out solutions to minimize this power consumption and thus operating cost. In this paper, prediction based faster energy efficient virtual machine (VM) consolidation scheme is proposed which results in faster VM consolidation to improve Quality of Service (QoS) and performance while reducing energy consumption.
  • Keywords
    "Heuristic algorithms","Algorithm design and analysis","Prediction algorithms","Cloud computing","Energy efficiency","Resource management","Virtual machining"
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing and Communication Engineering (ICACCE), 2015 Second International Conference on
  • Print_ISBN
    978-1-4799-1733-4
  • Type

    conf

  • DOI
    10.1109/ICACCE.2015.148
  • Filename
    7306726