Development of Multifractal Models for Self-Similar Traffic Flows

EasyChair Preprint 5150

Abstract

This paper presents a simple technique of multifractal traffic modeling. It proposes a method of fitting model to a given traffic trace. A comparison of simulation results obtained for an exemplary trace, multifractal model and Markov Modulated Poisson Process models has been performed.

Keyphrases: Computer Networks, Fractals, Markov Modulated Poisson Process (MMPP), multifractals, self-similarity, traffic modeling

@booklet{EasyChair:5150,
  author    = {Ginno Millán and Gastón Lefranc},
  title     = {Development of Multifractal Models for Self-Similar Traffic Flows},
  howpublished = {EasyChair Preprint 5150},
  year      = {EasyChair, 2021}}