• 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