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

EasyChair Preprint no. 5148

5 pagesDate: March 16, 2021

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

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:5148,
  author = {Ginno Millán},
  title = {A Generalized Multifractal Model for Self-similar Traffic Flows in High-speed Computer Networks},
  howpublished = {EasyChair Preprint no. 5148},

  year = {EasyChair, 2021}}
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