• DocumentCode
    3747437
  • Title

    Virtual machine placement method for energy saving in cloud computing

  • Author

    Pragan Wattanasomboon;Yuthapong Somchit

  • Author_Institution
    Department of Computer Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand
  • fYear
    2015
  • Firstpage
    275
  • Lastpage
    280
  • Abstract
    Nowadays, cloud computing has been widely used. The Virtual Machines (VMs) are created on servers in cloud computing. The VM scheduling on servers for energy saving in the cloud computing has been studied. The Virtual Machine Scheduling Algorithm (VSA) is proposed to schedule VMs in cluster environments. However, it is not effective and has high time complexity. In this paper, we propose a new scheduling method called Energy-aware Virtual Machine Placement (EVP) method to schedule VMs that can reduce power consumption. In addition, the EVP method has lower time complexity. We also formulate power consumption model to evaluate the performance of the EVP method. Finally, we evaluate the EVP method by simulation. The experimental results show that the EVP method has better performance.
  • Keywords
    "Servers","Power demand","Cloud computing","Clustering algorithms","Mathematical model","Processor scheduling","Virtual machining"
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Electrical Engineering (ICITEE), 2015 7th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICITEED.2015.7408955
  • Filename
    7408955