A Simplified Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks Revisited

EasyChair Preprint 5221

Abstract

In the context of the simulations carried out using a simplified multifractal model that is proposed to give an explanation to the locality phenomenon that appears in the estimation of the Hurst exponent in the second-order stationary series that represent the self-similar traffic flows in high-speed computer networks, its formulation is perfected to reduce the variability in the singularity limits and it is demonstrated through by its wavelet variant that this modification leads to a higher resolution in the interval of interest under study.

Keyphrases: Computer Networks, Hurst exponent (H), Locality phenomenon, multifractals, self-similarity, traffic models

@booklet{EasyChair:5221,
  author    = {Ginno Millán and Gastón Lefranc},
  title     = {A Simplified Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks Revisited},
  howpublished = {EasyChair Preprint 5221},
  year      = {EasyChair, 2021}}