  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.
