A Study of the Source Traffic Generator Using Poisson Distribution for ABR Service
This paper describes modeling of the available bit rate (ABR) source traffic in asynchronous transfer mode (ATM) network using BLPos/GTEXP traffic generator, which employs Poisson distribution for modeling the burst length (BLPos) and exponential distribution for modeling the gap time (GTEXP). This...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2012/408395 |
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| _version_ | 1832549318577356800 |
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| author | Mohsen Hosamo |
| author_facet | Mohsen Hosamo |
| author_sort | Mohsen Hosamo |
| collection | DOAJ |
| description | This paper describes modeling of the available bit rate (ABR) source traffic in asynchronous transfer mode (ATM) network using BLPos/GTEXP traffic generator, which employs Poisson distribution for modeling the burst length (BLPos) and exponential distribution for modeling the gap time (GTEXP). This traffic generator inherits the advantages of both Poisson and exponential distribution functions to achieve enhanced link performance. Analytical and simulation results for BLPos/GTEXP traffic generator have been presented and compared. |
| format | Article |
| id | doaj-art-8f79bbb11e1e4de28bcee860b01c2b6e |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-8f79bbb11e1e4de28bcee860b01c2b6e2025-02-03T06:11:38ZengWileyModelling and Simulation in Engineering1687-55911687-56052012-01-01201210.1155/2012/408395408395A Study of the Source Traffic Generator Using Poisson Distribution for ABR ServiceMohsen Hosamo0Department of Computer Engineering, Wadi International University, The Valley, Homs, SyriaThis paper describes modeling of the available bit rate (ABR) source traffic in asynchronous transfer mode (ATM) network using BLPos/GTEXP traffic generator, which employs Poisson distribution for modeling the burst length (BLPos) and exponential distribution for modeling the gap time (GTEXP). This traffic generator inherits the advantages of both Poisson and exponential distribution functions to achieve enhanced link performance. Analytical and simulation results for BLPos/GTEXP traffic generator have been presented and compared.http://dx.doi.org/10.1155/2012/408395 |
| spellingShingle | Mohsen Hosamo A Study of the Source Traffic Generator Using Poisson Distribution for ABR Service Modelling and Simulation in Engineering |
| title | A Study of the Source Traffic Generator Using Poisson Distribution
for ABR Service |
| title_full | A Study of the Source Traffic Generator Using Poisson Distribution
for ABR Service |
| title_fullStr | A Study of the Source Traffic Generator Using Poisson Distribution
for ABR Service |
| title_full_unstemmed | A Study of the Source Traffic Generator Using Poisson Distribution
for ABR Service |
| title_short | A Study of the Source Traffic Generator Using Poisson Distribution
for ABR Service |
| title_sort | study of the source traffic generator using poisson distribution for abr service |
| url | http://dx.doi.org/10.1155/2012/408395 |
| work_keys_str_mv | AT mohsenhosamo astudyofthesourcetrafficgeneratorusingpoissondistributionforabrservice AT mohsenhosamo studyofthesourcetrafficgeneratorusingpoissondistributionforabrservice |