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.
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M3 - Article
AN - SCOPUS:1842508033
SN - 1055-7148
VL - 14
SP - 119
EP - 129
JO - International Journal of Network Management
JF - International Journal of Network Management
IS - 2
ER -