• DocumentCode
    3681369
  • Title

    A Deployment Scheme of Virtual Machines for Campus Cloud Platform

  • Author

    Qian Ma;Jing Wang;Gang Wang

  • Author_Institution
    Res. Center for Cloud Comput., North China Univ. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    5/1/2014 12:00:00 AM
  • Firstpage
    187
  • Lastpage
    192
  • Abstract
    With the continuous deepening of teaching informatization, campus cloud platform is becoming increasingly popular, but the resource utilization in the campus cloud is still low, resulting in a serious waste of resources. To tackle this problem, this paper puts forward a deployment scheme of virtual machines for campus cloud platform, defines the course requirement model and the physical machine load model, and proposes a virtual machine deployment algorithm. This scheme can adapt to the characteristics of teaching applications such as periodicity, predictability, and batch, and achieve the purpose of energy saving and load balancing. Experiments show that the scheme can effectively reduce power consumption and achieve load balancing.
  • Keywords
    "Virtual machining","Load modeling","Load management","Servers","Education","Resource management","Time factors"
  • Publisher
    ieee
  • Conference_Titel
    Service Sciences (ICSS), 2014 International Conference on
  • ISSN
    2165-3828
  • Type

    conf

  • DOI
    10.1109/ICSS.2014.32
  • Filename
    7312313