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 language | English |
|---|---|
| Pages (from-to) | 119-129 |
| Number of pages | 11 |
| Journal | International Journal of Network Management |
| Volume | 14 |
| Issue number | 2 |
| Publication status | Published - 2004 Mar |
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ASJC Scopus subject areas
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Cite this
Self-similar and fractal nature of Internet traffic. / Chakraborty, Debasish; Ashir, Ahmed; Suganuma, Takuo; Mansfield Keeni, G.; Roy, T. K.; Shiratori, N.
In: International Journal of Network Management, Vol. 14, No. 2, 03.2004, p. 119-129.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Self-similar and fractal nature of Internet traffic
AU - Chakraborty, Debasish
AU - Ashir, Ahmed
AU - Suganuma, Takuo
AU - Mansfield Keeni, G.
AU - Roy, T. K.
AU - Shiratori, N.
PY - 2004/3
Y1 - 2004/3
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=1842508033&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=1842508033&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:1842508033
VL - 14
SP - 119
EP - 129
JO - International Journal of Network Management
JF - International Journal of Network Management
SN - 1055-7148
IS - 2
ER -