
Adaptive estimation of parameters of multiplicative cascade‐based network traffic model in wavelet domain
Author(s) -
Rocha F.G.C.,
Vieira F.H.T.
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.4486
Subject(s) - cascade , wavelet , multiplicative function , traffic generation model , multifractal system , computer science , domain (mathematical analysis) , algorithm , scaling , mathematics , mathematical optimization , control theory (sociology) , artificial intelligence , engineering , real time computing , mathematical analysis , chemical engineering , geometry , control (management) , fractal
An adaptive and recursive approach to the network traffic modelling taking into account multifractal characteristics of the network traffic flows is proposed. To this end, equations for some statistics of the scaling coefficients and for the model multipliers in order to develop a new algorithm that enables the adaptive estimation of parameters of a multiplicative cascade in the wavelet domain are presented. Simulations and comparisons with other three important models in the literature were carried out in order to verify the performance of the proposed approach.