• DocumentCode
    2861840
  • Title

    Optimizing Migration of Virtual Machines across Data-Centers

  • Author

    Bose, Sumit Kumar ; Sundarrajan, Srikanth

  • Author_Institution
    Software Eng. & Technol. Labs., Infosys Technol. Ltd., Bangalore, India
  • fYear
    2009
  • fDate
    22-25 Sept. 2009
  • Firstpage
    306
  • Lastpage
    313
  • Abstract
    Managing virtual machines (VM) in large scale enterprise grid scenarios, commonly encountered in data centers, is extremely challenging. Currently, live VM migration is based on QoS non-conformance events; migration of a VM is initiated as soon as the aggregate resource (CPU and memory) requirements of the VMs on the physical machine (PM) exceed the capacity available on the PM. However, this paper establishes that, such `event-based´ migration can be extremely myopic. To overcome the limitations posed by the `event-based´ VM migration, this paper, proposes a new migration strategy based on `time-windows´. The paper outlines a mixed integer linear programming (MILP) model and a heuristic solution for generating near-optimal rearrangements of the VMs on the PMs. The paper evaluates the solutions on various VM scenarios which show encouraging results.
  • Keywords
    computer centres; dynamic programming; grid computing; heuristic programming; linear programming; quality of service; virtual machines; CPU memory; QoS non conformance events; data centers; event based migration; heuristic solution; large scale enterprise grid scenarios; mixed integer linear programming; near optimal rearrangements; optimizing migration; physical machine; virtual machines; Application virtualization; Monitoring; Parallel processing; Platform virtualization; Quality of service; Resource management; Software engineering; Virtual machining; Virtual manufacturing; Voice mail; Constraint Propagation; Data-Center; Enterprise Grid Computing; Optimization; Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Workshops, 2009. ICPPW '09. International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1530-2016
  • Print_ISBN
    978-1-4244-4923-1
  • Electronic_ISBN
    1530-2016
  • Type

    conf

  • DOI
    10.1109/ICPPW.2009.39
  • Filename
    5366093