• DocumentCode
    1742793
  • Title

    Self-similar and fractal nature of Internet traffic data

  • Author

    Mansfield, G. ; Roy, T.K. ; Shiratori, N.

  • Author_Institution
    Res. Inst. of Electr. Commun., Tohoku Univ., Sendai, Japan
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    227
  • Lastpage
    231
  • Abstract
    The Internet traffic being extremely variable and bursty in a wide range of time scales is usually characterised by a self-similarity parameter (β), which describes its statistics depending on the scales of resolution. We study the characteristics on some previous data and observe that it can have another parameter which is its fractal dimension (D)
  • Keywords
    Internet; fractals; statistical analysis; telecommunication traffic; Internet traffic data; bursty traffic; fractal characteristics; fractal dimension; self-similarity parameter; statistics; variable traffic; Autocorrelation; Electronic mail; Floods; Fractals; Frequency; Internet; Laboratories; Predictive models; Statistics; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Networking, 2001. Proceedings. 15th International Conference on
  • Conference_Location
    Beppu City, Oita
  • Print_ISBN
    0-7695-0951-7
  • Type

    conf

  • DOI
    10.1109/ICOIN.2001.905432
  • Filename
    905432
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1742793