DocumentCode
26726
Title
A New Network Traffic Modeling Based in Conservative Multiplicative Cascade with Weights Newton Binomial
Author
De Godoy Stenico, J.W. ; Lee, Luan L.
Author_Institution
Univ. Estadual de Campinas (Unicamp), Campinas, Brazil
Volume
11
Issue
5
fYear
2013
fDate
Sept. 2013
Firstpage
1143
Lastpage
1155
Abstract
In order to robustly characterize today´s network traffic, a new multifractal theory based multiplicative cascade traffic model is proposed. The proposed multiplicative cascade traffic model is conservative in measure with its multiplier weights determined by Binomial Newton expansions. We also derive some major statistical characteristics of this new cascade process enabling generation of synthetic traffic used for traffic model validation and simulation purposes. Experimental investigation results have shown that the proposed model is promising in robust and accurate traffic characterization and modeling for both real wired and wireless traffic outperforming three well-known multifractal models in the literature.
Keywords
Newton method; cascade networks; fractals; statistical analysis; telecommunication traffic; binomial Newton expansion; conservative multiplicative cascade; multifractal theory; multiplicative cascade traffic model; network traffic modeling; statistical characteristic; synthetic traffic; traffic model validation; wired traffic; wireless traffic; Abstracts; Fractals; IP networks; Robustness; Telecommunication traffic; Weight measurement; Wireless communication; Multifractal Processes; Multiplicative Cascade; Network Traffic;
fLanguage
English
Journal_Title
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher
ieee
ISSN
1548-0992
Type
jour
DOI
10.1109/TLA.2013.6684388
Filename
6684388
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