Preprint
Article

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

This version is not peer-reviewed.

Submitted:

11 March 2021

Posted:

12 March 2021

You are already at the latest version

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.
Keywords: 
Multifractals, Self-similarity, Hurst exponent (H), High-speed computer networks, Traffic models.
Subject: 
Computer Science and Mathematics  -   Computational Mathematics
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.

Altmetrics

Downloads

340

Views

372

Comments

1

Subscription

Notify me about updates to this article or when a peer-reviewed version is published.

Email

Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

© 2025 MDPI (Basel, Switzerland) unless otherwise stated