• DocumentCode
    3063240
  • Title

    Combinatorial Auction-Based Dynamic VM Provisioning and Allocation in Clouds

  • Author

    Zaman, Sharrukh ; Grosu, Daniel

  • Author_Institution
    Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
  • fYear
    2011
  • fDate
    Nov. 29 2011-Dec. 1 2011
  • Firstpage
    107
  • Lastpage
    114
  • Abstract
    Efficient Virtual Machine (VM) provisioning and allocation allows the cloud providers to effectively utilize their available resources and obtain higher profits. Existing combinatorial auction-based mechanisms assume that the VM instances are already provisioned, that is they assume static VM provisioning. A better solution would be to take into account the users´ demand when provisioning VM instances. We design an auction-based mechanism for dynamic VM provisioning and allocation that takes into account the user demand for VMs when making VM provisioning decisions. We perform extensive simulation experiments using real workload traces and show that the proposed mechanism can improve the utilization, increase the efficiency of allocation, and yield higher revenue for the cloud provider.
  • Keywords
    cloud computing; commerce; resource allocation; virtual machines; cloud providers; combinatorial auction; dynamic VM allocation; dynamic VM provisioning; virtual machine; Cloud computing; Complexity theory; Computational modeling; Cost accounting; Dynamic scheduling; Resource management; Vectors; VM provisioning; cloud computing; combinatorial auctions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2011 IEEE Third International Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4673-0090-2
  • Type

    conf

  • DOI
    10.1109/CloudCom.2011.24
  • Filename
    6133133