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...
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my.utm.23302010-06-01T03:02:34Z http://eprints.utm.my/id/eprint/2330/ A fractal modeling for network traffic Nor, S. M. Yahya, Z. Ihsanto, E. TK Electrical engineering. Electronics Nuclear engineering 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. ieee 2000 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/2330/1/Nor2000__FractalModelingForNetworkTraffic.pdf Nor, S. M. and Yahya, Z. and Ihsanto, E. (2000) A fractal modeling for network traffic. TENCON 2000. Proceedings , 2 (3 vol.(xxv+536+614+527) ). pp. 472-477. |
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| building |
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Universiti Teknologi Malaysia |
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| url_provider |
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| language |
English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Nor, S. M. Yahya, Z. Ihsanto, E. A fractal modeling for network traffic |
| description |
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. |
| format |
Article |
| author |
Nor, S. M. Yahya, Z. Ihsanto, E. |
| author_facet |
Nor, S. M. Yahya, Z. Ihsanto, E. |
| author_sort |
Nor, S. M. |
| title |
A fractal modeling for network traffic
|
| title_short |
A fractal modeling for network traffic
|
| title_full |
A fractal modeling for network traffic
|
| title_fullStr |
A fractal modeling for network traffic
|
| title_full_unstemmed |
A fractal modeling for network traffic
|
| title_sort |
fractal modeling for network traffic |
| publisher |
ieee |
| publishDate |
2000 |
| url |
http://eprints.utm.my/id/eprint/2330/1/Nor2000__FractalModelingForNetworkTraffic.pdf http://eprints.utm.my/id/eprint/2330/ |
| _version_ |
1643643562514972672 |
| score |
13.250345 |