A Generalized Multifractal Model for Self-similar Traffic Flows in High-speed Computer Networks

EasyChair Preprint 5148

Abstract

This paper proposes a new multifractal model with the aim to provide a possible explanation for the locality phenomena to appear in the estimation of the Hurst exponent in stationary second order temporal series, representing the self-similar traffic flows in high-speed computer networks. Analytically it is shown that this phenomenon occurs if the network traffic flows consists of several components whit different Hurst exponents.

Keyphrases: Hurst exponent (H), multifractals, networks, security and teleinformatics, self-similarity

@booklet{EasyChair:5148,
  author    = {Ginno Millán},
  title     = {A Generalized Multifractal Model for Self-similar Traffic Flows in High-speed Computer Networks},
  howpublished = {EasyChair Preprint 5148},
  year      = {EasyChair, 2021}}