Name
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. Copyright © 2004 John Wiley & Sons,
Ltd.
|
Year | DOI | Venue |
|---|---|---|
2004 | 10.1002/nem.512 | International Journal of Network Management |
Keywords | Field | DocType |
internet traffic,fractal dimension,hurst parameter | Statistical physics,Fractal analysis,Fractal dimension on networks,Fractal landscape,Fractal dimension,Computer science,Simulation,Hurst exponent,Fractal,Internet traffic,Distributed computing,The Internet | Journal |
Volume | Issue | ISSN |
14 | 2 | 1099-1190 |
Citations | PageRank | References |
17 | 1.09 | 9 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Debasish Chakraborty | 1 | 77 | 11.66 |
| Ahmed Ashir | 2 | 35 | 4.46 |
| Takuo Suganuma | 3 | 341 | 61.14 |
| Glenn Mansfield-Keeni | 4 | 34 | 8.44 |
| T. K. Roy | 5 | 17 | 1.09 |
| Norio Shiratori | 6 | 818 | 137.59 |