Download PDFOpen PDF in browserOn the Generation of Self-similar with Long-range Dependent Traffic Using Piecewise Affine Chaotic One-dimensional Maps (Extended Version)EasyChair Preprint 5255, version 213 pages•Date: May 4, 2021AbstractA 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. Keyphrases: Chaos, Hurst exponent, Traffic modeling in computer networks, chaotic maps, self-similarity
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