A Simplified Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks

Ginno Millán, Enrique San Juan Urrutia, Manuel Vargas Guzmán


This paper proposes a multifractal model, with the aim of providing a possible explanation for the locality phenomenon that appears in the estimation of the Hurst exponent in stationary second order temporal series representing self-similar traffic flows in current high-speed computer networks. It is shown analytically that this phenomenon occurs if the network flow consists of several components with different Hurst exponents.


Multifractals, self-similarity, hurst exponent (h), high-speed computer networks, traffic models

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