• DocumentCode
    1787814
  • Title

    Improving the efficiency of genetic algorithm approach to virtual machine allocation

  • Author

    Joseph, Christina Terese ; Chandrasekaran, K. ; Cyriac, Robin

  • Author_Institution
    Dept. of CSE, Rajagiri Sch. of Eng. & Technol., Kochi, India
  • fYear
    2014
  • fDate
    26-28 Sept. 2014
  • Firstpage
    111
  • Lastpage
    116
  • Abstract
    Virtual machine (VM) allocation is the process of allocating virtual machines to suitable hosts. This problem is an NP-Hard problem. It can be considered as a variation of the bin-packing problem. Among various solutions that attempt to solve this problem, several approaches that apply Genetic Algorithm have been proposed. This paper proposes a method to improve the efficiency of such approaches. Implementation of the proposed approach shows significant improvements in the runtime, memory used, energy efficiency and SLA violations.
  • Keywords
    bin packing; cloud computing; genetic algorithms; virtual machines; NP-hard problem; SLA violations; VM allocation; bin-packing problem; energy efficiency; genetic algorithm approach; virtual machine allocation; Biological cells; Encoding; Genetic algorithms; Resource management; Sociology; Statistics; Virtual machining; Cloud Computing; Genetic Algorithm; NSGA-II; Virtual Machine Allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Communication Technology (ICCCT), 2014 International Conference on
  • Conference_Location
    Allahabad
  • Print_ISBN
    978-1-4799-6757-5
  • Type

    conf

  • DOI
    10.1109/ICCCT.2014.7001477
  • Filename
    7001477