• DocumentCode
    3000312
  • Title

    VCAE: A Virtualization and Consolidation Analysis Engine for Large Scale Data Centers

  • Author

    Chen, Haifeng ; Kang, Hui ; Jiang, Guofei ; Yoshihira, Kenji ; Saxena, Akhilesh

  • Author_Institution
    NEC Labs. America, Inc., Princeton, NJ, USA
  • fYear
    2010
  • fDate
    Sept. 27 2010-Oct. 1 2010
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Server consolidation through virtualization is becoming an effective way to save power and space in enterprise data centers. However, it also brings additional operational risks for the consolidated system because the impacts of hardware failures, human errors, and security breaches can be vastly magnified in that densely packed environment. In order to mitigate the above issues, this paper proposes a new virtualization and consolidation analysis engine(VCAE), which exploits and utilizes various constraints in the consolidation process. VCAE provides a comprehensive framework to discover, represent, check, and combine various constraints in server consolidation. It can assist system operators to effectively deal with the large number of constraints in the consolidation planning. In addition, VCAE proposes an evolution based method to discover the optimal consolidation scheme under multiple constraints. As a consequence, the consolidation solution generated by VCAE can not only maximize the utilization of system resources but also keep the hidden risks as low as possible in the consolidated system. The experimental results from an real enterprise system have demonstrated the advantages of our analysis engine.
  • Keywords
    business communication; computer centres; file servers; security of data; virtual machines; consolidation planning; enterprise data centers; hardware failures; human errors; large scale data centers; real enterprise system; security breaches; server consolidation; system operators; system resources; virtualization and consolidation analysis engine; Engines; Hardware; Maintenance engineering; Planning; Resource management; Security; Servers; constraints; optimization; server consolidation; virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems (SASO), 2010 4th IEEE International Conference on
  • Conference_Location
    Budapest
  • Print_ISBN
    978-1-4244-8537-6
  • Electronic_ISBN
    978-0-7695-4232-4
  • Type

    conf

  • DOI
    10.1109/SASO.2010.25
  • Filename
    5630892