• DocumentCode
    2215823
  • Title

    Solving virtual machine packing with a Reordering Grouping Genetic Algorithm

  • Author

    Wilcox, David ; McNabb, Andrew ; Seppi, Kevin

  • Author_Institution
    CS Dept., BYU, Provo, UT, USA
  • fYear
    2011
  • fDate
    5-8 June 2011
  • Firstpage
    362
  • Lastpage
    369
  • Abstract
    We formally define multi-capacity bin packing, a generalization of conventional bin packing, and develop an algorithm called Reordering Grouping Genetic Algorithm (RGGA) to assign VMs to servers. We first test RGGA on conventional bin packing problems and show that it yields excellent results but much more efficiently. We then generate a multi-constraint test set, and demonstrate the effectiveness of RGGA in this context. Lastly, we show the applicability of RGGA in its desired context by using it to develop an assignment of real virtual machines to servers.
  • Keywords
    bin packing; computational complexity; genetic algorithms; virtual machines; multicapacity bin packing; multiconstraint test set; reordering grouping genetic algorithm; virtual machine packing; Approximation algorithms; Genetic algorithms; Genetics; Redundancy; Servers; USA Councils; Virtual machining; Bin Packing; Genetic Algorithm; Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2011 IEEE Congress on
  • Conference_Location
    New Orleans, LA
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-7834-7
  • Type

    conf

  • DOI
    10.1109/CEC.2011.5949641
  • Filename
    5949641