A fractal modeling for network traffic
This paper describes fractal modeling with application to broadcast traffic of a switch-based LAN. The traffic is represented by two variables, packet inter-arrival time and packet size. The series of these two variables is normalized separately and considered as a number of random points in 2-dimen...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
ieee,
2000.
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| Subjects: | |
| Online Access: | Get fulltext |
| LEADER | 01309 am a22001573u 4500 | ||
|---|---|---|---|
| 001 | 2330 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Nor, S. M. |e author |
| 700 | 1 | 0 | |a Yahya, Z. |e author |
| 700 | 1 | 0 | |a Ihsanto, E. |e author |
| 245 | 0 | 0 | |a A fractal modeling for network traffic |
| 260 | |b ieee, |c 2000. | ||
| 856 | |z Get fulltext |u http://eprints.utm.my/id/eprint/2330/1/Nor2000__FractalModelingForNetworkTraffic.pdf | ||
| 520 | |a This paper describes fractal modeling with application to broadcast traffic of a switch-based LAN. The traffic is represented by two variables, packet inter-arrival time and packet size. The series of these two variables is normalized separately and considered as a number of random points in 2-dimensional space. In the study, fractal behavior of the traffic is considered to be caused by high variability of the packet inter-arrival time. Hence measuring variability of inter-arrival time is a necessity for fractal analysis. This analysis is done using long-range dependence (LRD) of variance measurement. The work compares LRD properties between real broadcast traffic and the synthetic one. The real traffic is captured from switch-based LAN, while the synthetic one is generated using iterated function system (IFS) method. | ||
| 546 | |a en | ||
| 650 | 0 | 4 | |a TK Electrical engineering. Electronics Nuclear engineering |