• DocumentCode
    3123229
  • Title

    An energy saving heuristic algorithm based on consolidation of virtual machines

  • Author

    Xiao-Dong Zuo ; Hao-Miao Jia

  • Author_Institution
    CEC Inf. Technol. Res. Inst., Beijing, China
  • Volume
    04
  • fYear
    2013
  • fDate
    14-17 July 2013
  • Firstpage
    1578
  • Lastpage
    1583
  • Abstract
    Energy saving based on the consolidation of virtual machines is an effective approach to green computing and can reduce the operation cost of IT systems. However, how to achieve the optimal energy saving based on virtual machine consolidation is essentially a Variable Size Bin Packing Problem (VSBPP), which is a NP problem. A heuristic algorithm named Virtual Machine Consolidation Heuristic (VMCH) based on the typical data center configuration can convert the VSBPP on virtual machine consolidation into a 0-1 Knapsack problem and effectively simplify the algorithm decision process. VMCH consolidates virtual machines into physical servers as few as possible without obviously sacrificing the system performance. The efficiency and effectiveness of VMCH have been verified in a small prototype system.
  • Keywords
    bin packing; computational complexity; energy conservation; green computing; virtual machines; 0-1 knapsack problem; IT systems; NP-hard problem; VMCH; VSBPP; energy saving heuristic algorithm; green computing; information technology; operation cost reduction; variable size bin packing problem; virtual machine consolidation heuristic; Abstracts; Electronic mail; Erbium; Green products; Silicon; Time measurement; Virtual machining; 0??1 Knapsack problem; Bin Packing Problem; Green computing; Heuristic algorithm; Virtual machine consolidation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
  • Conference_Location
    Tianjin
  • Type

    conf

  • DOI
    10.1109/ICMLC.2013.6890854
  • Filename
    6890854