• DocumentCode
    17654
  • Title

    Multi-Dimensional Bid Greedy Auction Mechanism for Bandwidth Allocation

  • Author

    Zexiang Mao ; Yanlei Shang ; Junliang Chen

  • Author_Institution
    State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    19
  • Issue
    6
  • fYear
    2015
  • fDate
    Jun-15
  • Firstpage
    973
  • Lastpage
    976
  • Abstract
    Since current bandwidth mechanisms need communicating general functions or long convergence phase, they are not feasible in practice. In this letter, an efficient bandwidth allocation mechanism is proposed, which called Multi-dimensional Bid Greedy auction mechanism. It presents the advantage that the Multi-dimensional bid is submitted once only, saving a lot of signalization overhead. We formulate the problem of bandwidth allocation in networks as a combinatorial auction problem and propose an allocation rule to solve it. This allocation rule is complemented by a payment rule of the VCG (Vickrey-Clarke-Groves) type, which provides users with the incentive to bid truthfully, thus simplifying bidding. We argue that our mechanism is simple and applicable to real networks. Since our mechanism´s computational complexity is low, it can serve as a fast and practical solution to bandwidth allocation.
  • Keywords
    bandwidth allocation; combinatorial mathematics; greedy algorithms; VCG type; Vickrey-Clarke-Groves type; bandwidth allocation mechanism; combinatorial auction problem; long convergence phase; mechanism computational complexity; multidimensional bid greedy auction mechanism; signalization overhead; Bandwidth; Channel allocation; Complexity theory; Convergence; Pricing; Resource management; Switches; Bandwidth allocation; Bandwidth allocation,; auction; pricing mechanism; utility functions; utility functions,;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2015.2420628
  • Filename
    7081366