• DocumentCode
    854703
  • Title

    The Proportional-Share Allocation Market for Computational Resources

  • Author

    Feldman, Michal ; Lai, Kevin ; Zhang, Li

  • Author_Institution
    Sch. of Bus. Adm., Hebrew Univ. of Jerusalem, Jerusalem
  • Volume
    20
  • Issue
    8
  • fYear
    2009
  • Firstpage
    1075
  • Lastpage
    1088
  • Abstract
    We study the problem of allocating shared resources, such as bandwidth in computer networks and computational resources in shared clusters, among multiple users by the proportional-share market mechanism. Under this mechanism, each user partitions his budget among the multiple resources and receives a fraction of each resource proportional to his bid. We first formulate the resource allocation game under the proportional-share mechanism and study the efficiency and fairness of the equilibrium in this game. We present analytic and simulation results demonstrating that the proportional-share mechanism achieves a reasonable balance of high degrees of efficiency and fairness at the equilibrium.
  • Keywords
    computer networks; game theory; resource allocation; computer network; game theory; proportional-shared resource allocation market; Distributed Systems; Game theory; System architectures; integration and modeling; proportional-share mechanism.; resource allocation;
  • fLanguage
    English
  • Journal_Title
    Parallel and Distributed Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9219
  • Type

    jour

  • DOI
    10.1109/TPDS.2008.168
  • Filename
    4620112