Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Simple 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 Simple Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks. Preprints 2021, 2021030299. https://doi.org/10.20944/preprints202103.0299.v1 Millán, G. A Simple Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks. Preprints 2021, 2021030299. https://doi.org/10.20944/preprints202103.0299.v1

Abstract

This paper presents a simple and fast technique of multifractal traffic modeling. It proposes a method of fitting model to a given traffic trace. A comparison of simulation results obtained for an exemplary trace, multifractal model and Markov Modulated Poisson Process models has been performed.

Keywords

Markov Modulated Poisson Process; Multifractals; Self-similarity; Traffic modeling

Subject

Computer Science and Mathematics, Algebra and Number Theory

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