• DocumentCode
    1926066
  • Title

    Analysis and Evaluation of the Scheduling Algorithms in Virtual Environment

  • Author

    You, Xindong ; Xu, Xianghua ; Wan, Jian ; Jiang, Congfeng

  • Author_Institution
    Grid & Service Comput. Lab., Hangzhou Dianzi Univ., Hangzhou
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    291
  • Lastpage
    296
  • Abstract
    Virtual machine technologies currently receive great interest both in industry and research communities. And it is one of the most important technologies for the coming Cloud Computing. We surveyed the CPU scheduling algorithms in Xen and VMWare systems, and found that both of them use a distinctive VCPUs running queue for each physical CPU, which is referred to Partition Queue Model (PQM) in this paper. As a contrast, a Sharing Queue Model (SQM) of CPU scheduling algorithm is proposed. The simulation experiments results show that the sharing queue model of CPU scheduling achieves better performance than the partition queue model and the deduction from Queue Theory also confirms the results. Moreover, with the CPU utilization increased, the advantage of Sharing Queue Model over Partition Queue Mode is more evident in response time.
  • Keywords
    processor scheduling; queueing theory; virtual machines; CPU scheduling algorithm analysis; CPU scheduling algorithm evaluation; VMWare system; Xen system; cloud computing; multicore processor; partition queue model; queue theory; sharing queue model; virtual machine technology; Algorithm design and analysis; Embedded software; Job shop scheduling; Queueing analysis; Scheduling algorithm; Virtual environment; Virtual machine monitors; Virtual machining; Virtual manufacturing; Voice mail; Scheduling algorithms; Virtual machine; queue theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Software and Systems, 2009. ICESS '09. International Conference on
  • Conference_Location
    Zhejiang
  • Print_ISBN
    978-1-4244-4359-8
  • Type

    conf

  • DOI
    10.1109/ICESS.2009.22
  • Filename
    5066660