• DocumentCode
    2369112
  • Title

    SLA guaranteed virtual machine consolidation for computing clouds

  • Author

    Zhe Huang ; Tsang, Danny H. K.

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1314
  • Lastpage
    1319
  • Abstract
    One of the most attractive features that computing clouds can offer is that the data center maintenance cost can be reduced by consolidating the workload generated by the virtual machines (VMs) into a few powerful physical servers. In this paper, the problem of maximally consolidating heterogeneous virtual machines into servers while protecting the service level agreement of each virtual machine is investigated. A generic and robust VM workload consolidation framework is proposed. The proposed framework achieves several attractive properties like low maintenance cost, low algorithm complexity, adjustable resource provisioning aggressiveness, and good scalability.
  • Keywords
    cloud computing; computer centres; virtual machines; SLA guaranteed virtual machine consolidation; adjustable resource provisioning aggressiveness; cloud computing; data center maintenance cost; maximally consolidating heterogeneous virtual machine problem; physical servers; robust VM workload consolidation framework; service level agreement protection; Forecasting; Hardware; Heuristic algorithms; Relaxation methods; Robustness; Servers; Virtual machining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6363970
  • Filename
    6363970