• DocumentCode
    1711024
  • Title

    Toward Automatically Deducing Key Device States for the Live Migration of Virtual Machines

  • Author

    Guodong Zhu ; Kang Li ; Yibin Liao

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Georgia, Athens, GA, USA
  • fYear
    2015
  • Firstpage
    1025
  • Lastpage
    1028
  • Abstract
    The ability of migrating running virtual machines (VMs) in cloud environment provides significant benefits in dynamic resource load balancing and higher fault tolerance. The migration of a virtual machine consists of both the application/OS memory state migration and virtual hardware device state migration. Failures in the either of these two may lead to unpredictable behavior of the running VM. Previous researches have focused on the consistence of the application/OS memory state. In this paper, we inspect the migration of device states, which are also essential for the success of VM live migration. The current practice of defining device states is done by the developers of each virtual device and thus is prone to errors. We present an approach that automatically deduces what states are critical for a virtual device. Having the precise states defined is critical for the success of VM live migration.
  • Keywords
    cloud computing; operating systems (computers); resource allocation; software fault tolerance; virtual machines; VM live migration; application-OS memory state migration; cloud environment; dynamic resource load balancing; fault tolerance; key device states; virtual hardware device state migration; virtual machine live migration; Cloud computing; Conferences; Feature extraction; Hardware; Virtual machining; Virtualization; Live Migration; Virtual Device; Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4673-7286-2
  • Type

    conf

  • DOI
    10.1109/CLOUD.2015.143
  • Filename
    7214154