Self-similar and fractal nature of Internet traffic

Debasish Chakraborty, Ahmed Ashir, Takuo Suganuma, G. Mansfield Keeni, T. K. Roy, N. Shiratori

Research output: Contribution to journalArticle

42 Citations (Scopus)

Abstract

The self-similar bursty Internet traffic is usually characterized by the Hurst parameter (H). Such a process is also seen to possess fractal characteristics in time described by a parameter (β), with multifractals in most cases. We observe that these highly stochastic traffics have fractals in flow density too, described by a fractal dimension (D), also with the possibiliy of multifractals as in the former. This requires another parameter for the description of Internet traffic, besides the usual self-similarity parameter β or H and the different simulations or models worked out to understand the Internet traffic to reproduce the characteristics as found in the present work. We also find a notable self-similarity feature of the autocorrelations in the data and its aggregates, in all the cases studied.

Original languageEnglish
Pages (from-to)119-129
Number of pages11
JournalInternational Journal of Network Management
Volume14
Issue number2
DOIs
Publication statusPublished - 2004 Jan 1

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications

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    Chakraborty, D., Ashir, A., Suganuma, T., Mansfield Keeni, G., Roy, T. K., & Shiratori, N. (2004). Self-similar and fractal nature of Internet traffic. International Journal of Network Management, 14(2), 119-129. https://doi.org/10.1002/nem.512