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
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;
Conference_Titel :
Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-1365-0
DOI :
10.1109/CSO.2012.103
