• DocumentCode
    644424
  • Title

    A New Approach to Multi-objective Virtual Machine Placement in Virtualized Data Center

  • Author

    Sinong Wang ; Huaxi Gu ; Gang Wu

  • Author_Institution
    State Key Lab. of ISN, Xidian Univ., Xi´an, China
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    331
  • Lastpage
    335
  • Abstract
    In this paper, a virtual machine placement model to maximize resource utilization, balance multi-dimensional resources use and minimize communication traffic simultaneously within the data center is proposed. The multi-objective problem is simplified by employing average valued inequality and positional constraints. The improved genetic algorithm with local heuristic method and elitism strategy is developed to solve the problem. The simulation results show that performance gains in all aspects can be achieved by the proposed model and algorithm compared to the existing algorithms.
  • Keywords
    computer centres; genetic algorithms; virtual machines; virtualisation; communication traffic minimization; elitism strategy; improved genetic algorithm; inequality constraints; local heuristic method; multidimensional resource use; multiobjective problem; multiobjective virtual machine placement; performance gains; positional constraints; resource utilization; virtualized data center; Bandwidth; Cloud computing; Conferences; Genetic algorithms; Linear programming; Resource management; Virtual machining; genetic algorithm; local heuristic; virtual machine placement; virtual networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Architecture and Storage (NAS), 2013 IEEE Eighth International Conference on
  • Conference_Location
    Xi´an
  • Type

    conf

  • DOI
    10.1109/NAS.2013.54
  • Filename
    6665388