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

Authors

  • Ginno Millán Universidad de Santiago de Chile
  • Enrique San Juan Urrutia Universidad de Santiago de Chile
  • Manuel Vargas Guzmán Universidad San Sebastián

DOI:

https://doi.org/10.13053/cys-23-4-2831

Keywords:

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

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.

Author Biographies

Ginno Millán, Universidad de Santiago de Chile

Ingeniero Civil Electrónico y Magíster en Ciencias de la Ingeniería con Mención en Ingeniería Eléctrica, de la Pontificia Universidad Católica de Valparaíso, y Doctor en Ciencias de la Ingeniería Mención Automática de la Universidad de Santiago de Chile.

Enrique San Juan Urrutia, Universidad de Santiago de Chile

Ingeniero Civil Electricista y Doctor en Ciencias de la Ingeniería Mención Automática de la Universidad de Santiago de Chile.

Manuel Vargas Guzmán, Universidad San Sebastián

Ingeniero Civil Industrial, Magíster en Ingeniería Industrial y Doctor en Ciencias de la Ingeniería Mención Ingeniería Industrial de la Universidad de Santiago de Chile.

Downloads

Additional Files

Published

2019-12-20

Issue

Vol. 23 No. 4 (2019): 23-4(2019)

Section

Articles

License 

Hereby I transfer exclusively to the Journal "Computación y 
Sistemas", published by the Computing Research Center (CIC-IPN),
the Copyright of the aforementioned paper. I also accept that these 
rights will not be transferred to any other publication, in any other 
format, language or other existing means of developing.
I certify that the paper has not been previously disclosed or simultaneo
usly submitted to any other publication, and that it does not contain 
material whose publication would violate the Copyright or other 
proprietary rights of any person, company or institution. I certify that 
I have the permission from the institution or company where I work or 
study to publish this work.
The representative author accepts the responsibility for the publication
of this paper on behalf of each and every one of the authors. 
This transfer is subject to the following conditions:
  • The authors retain all ownership rights (such as patent rights) of this work, except for the publishing rights transferred to the CIC, through this document.
  • Authors retain the right to publish the work in whole or in part in any book they are the authors or publishers. They can also make use of this work in conferences, courses, personal web pages, and so on.
  • Authors may include working as part of his thesis, for non-profit distribution only.