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 journalArticlepeer-review

46 Citations (Scopus)


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
Issue number2
Publication statusPublished - 2004
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications


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