• DocumentCode
    1983554
  • Title

    The Identification and Performance Analysis of the Fractal Characteristics of Network Traffic

  • Author

    Ma, XiaoYan

  • Author_Institution
    Coll. of Sci. Inf. & Technol., Beijing Univ. of Chem. Technol., Beijing, China
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Network traffic has single-fractal characteristic, or self-similar characteristic, at the global time scale; and multi-fractal characteristic at local time scale. The linear or nonlinear relationship between the scaling function and the time scale can be used to determine the single-fractal or multi-fractal characteristic of the network traffic. Increasing the buffer size will reduce the packet loss rate and network delay with single-fractal and multi-fractal traffic as input, but the network delay and delay jitter will significantly increase. This phenomena of multi-fractal traffic is serous than that of the single-fractal. The reason is that the multi-fractal can characterize not only the long-range dependence properties of network traffic, but also the sudden change at the small-scale.
  • Keywords
    fractals; packet radio networks; telecommunication traffic; buffer size; delay jitter; global time scale; local time scale; long-range dependence properties; multifractal characteristic; multifractal traffic; network delay; network traffic; nonlinear relationship; packet loss rate; performance analysis; scaling function; self-similar characteristic; single-fractal characteristic; single-fractal traffic; Business; Data models; Delay; Fractals; Jitter; Random processes; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Applications, 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5142-5
  • Electronic_ISBN
    978-1-4244-5143-2
  • Type

    conf

  • DOI
    10.1109/ITAPP.2010.5566575
  • Filename
    5566575