• DocumentCode
    3062911
  • Title

    A Mixed-Fractal Traffic Flow Model Whose Hurst Exponent Appears Crossover

  • Author

    Li, Li ; Li, Zhiheng ; Zhang, Yi ; Chen, Yudong

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • fYear
    2012
  • fDate
    23-26 June 2012
  • Firstpage
    443
  • Lastpage
    447
  • Abstract
    In this paper, we propose a new traffic flow model, aiming to provide a possible explanation and meanwhile a useful simulation tool for the multi-fractal network traffic. It is shown that the Hurst exponent for the mainline traffic flow will appear crossover phenomena, if it consists of several self-similar components with different Hurst exponents. Therefore, crossover phenomena are pervasive in practice, since the inflows from the branch lines are usually heterogenous and may have similar yet distinct Hurst exponents. Our results indicate that this model is useful in network traffic modeling and simulation.
  • Keywords
    fractals; traffic; Hurst exponents; branch lines; crossover phenomena; mainline traffic flow; mixed-fractal traffic flow model; multifractal network traffic; network traffic modeling; network traffic simulation; self-similar components; simulation tool; Computational modeling; Data models; Estimation; Fractals; Performance evaluation; Reactive power; Stochastic processes; Hurst exponent; crossover; network flows; scaling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-1365-0
  • Type

    conf

  • DOI
    10.1109/CSO.2012.103
  • Filename
    6274763