On the Generation of Self-similar with Long-range Dependent Traffic Using Piecewise Affine Chaotic One-dimensional Maps (Extended Version)
Physics and Society
2021-04-12 v1 Networking and Internet Architecture
Signal Processing
Abstract
A qualitative and quantitative extension of the chaotic models used to generate self-similar traffic with long-range dependence (LRD) is presented by means of the formulation of a model that considers the use of piecewise affine one-dimensional maps. Based on the disaggregation of the temporal series generated, a valid explanation of the behavior of the values of Hurst exponent is proposed and the feasibility of their control from the parameters of the proposed model is shown.
Keywords
Cite
@article{arxiv.2104.04135,
title = {On the Generation of Self-similar with Long-range Dependent Traffic Using Piecewise Affine Chaotic One-dimensional Maps (Extended Version)},
author = {G. Millán},
journal= {arXiv preprint arXiv:2104.04135},
year = {2021}
}
Comments
13 pages, in Spanish, 10 figures, 4 tables, Review Paper