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

EasyChair Preprint 5145

Abstract

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.

Keyphrases: High-speed computer networks, Hurst exponent (H), multifractals, self-similarity, traffic models

@booklet{EasyChair:5145,
  author    = {Ginno Millán},
  title     = {A Simplified Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks},
  howpublished = {EasyChair Preprint 5145},
  year      = {EasyChair, 2021}}