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 |
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ieee
2000
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| Subjects: | |
| Online Access: | http://eprints.utm.my/2330/ http://eprints.utm.my/2330/1/Nor2000__FractalModelingForNetworkTraffic.pdf |
| _version_ | 1848890346525687808 |
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| author | Nor, S. M. Yahya, Z. Ihsanto, E. |
| author_facet | Nor, S. M. Yahya, Z. Ihsanto, E. |
| author_sort | Nor, S. M. |
| building | UTeM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T20:40:37Z |
| format | Article |
| id | utm-2330 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:40:37Z |
| publishDate | 2000 |
| publisher | ieee |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-23302010-06-01T03:02:34Z http://eprints.utm.my/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/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. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Nor, S. M. Yahya, Z. Ihsanto, E. A fractal modeling for network traffic |
| title | 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_short | A fractal modeling for network traffic
|
| title_sort | fractal modeling for network traffic |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/2330/ http://eprints.utm.my/2330/1/Nor2000__FractalModelingForNetworkTraffic.pdf |