• DocumentCode
    2247622
  • Title

    A performance study of live VM migration technologies: VMotion vs XenMotion

  • Author

    Feng, Xiujie ; Tang, Jianxiong ; Luo, Xuan ; Jin, Yaohui

  • Author_Institution
    State Key Lab. of Adv. Opt. Commun. Syst. & Networks, Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2011
  • fDate
    13-16 Nov. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Due to the growing demand of flexible resource management for cloud computing services, researches on live virtual machine migration have attained more and more attention1. Live migration of virtual machine across different hosts has been a powerful tool to facilitate system maintenance, load balancing, fault tolerance and so on. In this paper, we use a measurement-based approach to compare the performance of two major live migration technologies under certain network conditions, i.e., VMotion and XenMotion. The results show that VMotion generates much less data transferred than XenMotion when migrating identical VMs. However, in network with moderate packet loss and delay, which are typical in a VPN (virtual private network) scenario used to connect the data centers, XenMotion outperforms VMotion in total migration time. We hope that this study can be helpful in choosing suitable virtualization environments for data center administrators and optimizing existing live migration mechanisms.
  • Keywords
    cloud computing; fault tolerance; resource allocation; telecommunication computing; virtual machines; virtual private networks; VM migration; VMotion; XenMotion; cloud computing; data center; fault tolerance; flexible resource management; live virtual machine migration; load balancing; virtual private network; Abstracts; Random access memory; Wide area networks; cloud computing; live virtual machine migration; virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Photonics Conference and Exhibition, 2011. ACP. Asia
  • Conference_Location
    Shanghai
  • ISSN
    2162-108X
  • Print_ISBN
    978-0-8194-8961-6
  • Type

    conf

  • DOI
    10.1117/12.905512
  • Filename
    6210843