Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

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

Version 1 : Received: 9 March 2021 / Approved: 11 March 2021 / Online: 11 March 2021 (08:38:36 CET)
Version 2 : Received: 11 March 2021 / Approved: 12 March 2021 / Online: 12 March 2021 (09:36:16 CET)

How to cite: Millán, G. A Simplified Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks. Preprints 2021, 2021030299 (doi: 10.20944/preprints202103.0299.v2). Millán, G. A Simplified Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks. Preprints 2021, 2021030299 (doi: 10.20944/preprints202103.0299.v2).

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

MATHEMATICS & COMPUTER SCIENCE, Computational Mathematics

Comments (1)

Comment 1
Received: 12 March 2021
Commenter: Ginno Millan
Commenter's Conflict of Interests: Author
Comment: Changes made:

1.- Change of title to correct error in English.
2.- Change of abstract to make it more precise.
3.- Change of keywords to be consistent with the new abstract.
4.- The bibliography is updated.
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