• DocumentCode
    2838467
  • Title

    The mean field model and analysis on the dynamical behavious for network traffic

  • Author

    Ting, Lei ; Zhen-Wei, Yu

  • Author_Institution
    Coll. of Sci., Beijing Forestry Univ., Beijing, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    4886
  • Lastpage
    4891
  • Abstract
    In a recent study, the chaotic phenomena of traffic has became an attractived topic in the filed of computer network. Based on theory of mean field, the mathematics model for describing the dynamic behavious of network traffic is presented, dynamical properties of this model are also analysed. It is shown that dynamical properties of the model is closely linked to the combination control parameter coupled by the some key factors including the average of the shortest-path, the average degree of nodes, the load of traffic, and the proportion of hosts; It is indicated, with the change of the combination control parameter, traffic behavious can transfer periodicity property to chaos property by the way of multi-periodicity bifurcation. Results further testify the chaos behavious is an intrinsic nature in the system of network traffic.
  • Keywords
    bifurcation; chaos; computer networks; telecommunication congestion control; telecommunication traffic; chaos property; chaotic phenomena; combination control parameter; computer network; dynamical properties; mathematics model; mean field model; multiperiodicity bifurcation; network traffic; Bifurcation; Chaos; Communication system traffic control; Computer networks; Mathematical model; Mathematics; Proportional control; System testing; Telecommunication traffic; Traffic control; Chaos; Dynamical behavious; Network traffic; Theroy of mean field;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5194902
  • Filename
    5194902