Article
Version 1
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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)
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
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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