• DocumentCode
    3743309
  • Title

    On the modified AIMD algorithm for distributed resource management with saturation of each user´s share

  • Author

    S. Stüdli;M. Corless;R. H. Middleton;R. Shorten

  • Author_Institution
    School of Electrical Engineering and Computer Science, The University of Newcastle, Callaghan NSW 2308, Australia
  • fYear
    2015
  • Firstpage
    1631
  • Lastpage
    1636
  • Abstract
    Recently the additive increase multiplicative decrease (AIMD) algorithm has been applied in fields other than congestion control in communications networks. A major attribute of these new applications is that the share of each user is bounded. Simulations suggest that AIMD performs well, even in the case of individual constraints on each user. In this paper, we provide a formal proof of exponential convergence to a unique fixed-point for the AIMD algorithm under individual user constraints.
  • Keywords
    "Context","Additives","Smart grids","Upper bound","Convergence","Optimization","Artificial intelligence"
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
  • Type

    conf

  • DOI
    10.1109/CDC.2015.7402444
  • Filename
    7402444