• DocumentCode
    2445716
  • Title

    Combinatorial Auction-Based Allocation of Virtual Machine Instances in Clouds

  • Author

    Zaman, Sharrukh ; Grosu, Daniel

  • Author_Institution
    Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 3 2010
  • Firstpage
    127
  • Lastpage
    134
  • Abstract
    The current cloud computing platforms allocate virtual machine instances to their users through fixed-price allocation mechanisms. We argue that combinatorial auction-based allocation mechanisms are especially efficient over the fixed-price mechanisms since the virtual machine instances are assigned to users having the highest valuation. We formulate the problem of virtual machine allocation in clouds as a combinatorial auction problem and propose two mechanisms to solve it. We perform extensive simulation experiments to compare the two proposed combinatorial auction-based mechanisms with the currently used fixed-price allocation mechanism. Our experiments reveal that the combinatorial auction-based mechanisms can significantly improve the allocation efficiency while generating higher revenue for the cloud providers.
  • Keywords
    cloud computing; combinatorial mathematics; small-to-medium enterprises; virtual machines; cloud computing; combinatorial auction; fixed price allocation; revenue; virtual machine; Biological system modeling; Cloud computing; Cost accounting; Equations; Pricing; Resource management; Virtual machining; cloud computing; combinatorial auction; resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2010 IEEE Second International Conference on
  • Conference_Location
    Indianapolis, IN
  • Print_ISBN
    978-1-4244-9405-7
  • Electronic_ISBN
    978-0-7695-4302-4
  • Type

    conf

  • DOI
    10.1109/CloudCom.2010.28
  • Filename
    5708443