Traffic behavior of local area network based on M/M/1 queuing model using Poisson and exponential distribution
Nowadays, Local Area Networks (LAN) are one of the most popular networks, and the LAN performance is very important for operators. The LAN method has been applied as an essential infrastructure of numerous companies and organizations for a long time. This study aims to evaluate the M/M/1 queuing mod...
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my.upm.eprints.560532017-07-03T09:33:19Z http://psasir.upm.edu.my/id/eprint/56053/ Traffic behavior of local area network based on M/M/1 queuing model using Poisson and exponential distribution Atefi, Kayvan Yahya, Saadiah Rezaei, Amirali Erfanian, Alireza Nowadays, Local Area Networks (LAN) are one of the most popular networks, and the LAN performance is very important for operators. The LAN method has been applied as an essential infrastructure of numerous companies and organizations for a long time. This study aims to evaluate the M/M/1 queuing model in LAN Based on Poisson and Exponential Distribution and compare the traffic behavior of these Distributions in terms of some essential parameters. Moreover, it also aims to design and implement a model to perform the M/M/1 queuing model with different metrics and finally analyze the results to evaluate traffic behavior of M/M/1 queuing model for Poisson and Exponential Distribution in LAN. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56053/1/Traffic%20behavior%20of%20local%20area%20network%20based%20on%20MM1%20queuing%20model%20using%20Poisson%20and%20exponential%20distribution.pdf Atefi, Kayvan and Yahya, Saadiah and Rezaei, Amirali and Erfanian, Alireza (2016) Traffic behavior of local area network based on M/M/1 queuing model using Poisson and exponential distribution. In: 2016 IEEE Region 10 Symposium (TENSYMP), 9-11 May 2016, Bali, Indonesia. (pp. 19-23). 10.1109/TENCONSpring.2016.7519371 |
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Nowadays, Local Area Networks (LAN) are one of the most popular networks, and the LAN performance is very important for operators. The LAN method has been applied as an essential infrastructure of numerous companies and organizations for a long time. This study aims to evaluate the M/M/1 queuing model in LAN Based on Poisson and Exponential Distribution and compare the traffic behavior of these Distributions in terms of some essential parameters. Moreover, it also aims to design and implement a model to perform the M/M/1 queuing model with different metrics and finally analyze the results to evaluate traffic behavior of M/M/1 queuing model for Poisson and Exponential Distribution in LAN. |
format |
Conference or Workshop Item |
author |
Atefi, Kayvan Yahya, Saadiah Rezaei, Amirali Erfanian, Alireza |
spellingShingle |
Atefi, Kayvan Yahya, Saadiah Rezaei, Amirali Erfanian, Alireza Traffic behavior of local area network based on M/M/1 queuing model using Poisson and exponential distribution |
author_facet |
Atefi, Kayvan Yahya, Saadiah Rezaei, Amirali Erfanian, Alireza |
author_sort |
Atefi, Kayvan |
title |
Traffic behavior of local area network based on M/M/1 queuing model using Poisson and exponential distribution |
title_short |
Traffic behavior of local area network based on M/M/1 queuing model using Poisson and exponential distribution |
title_full |
Traffic behavior of local area network based on M/M/1 queuing model using Poisson and exponential distribution |
title_fullStr |
Traffic behavior of local area network based on M/M/1 queuing model using Poisson and exponential distribution |
title_full_unstemmed |
Traffic behavior of local area network based on M/M/1 queuing model using Poisson and exponential distribution |
title_sort |
traffic behavior of local area network based on m/m/1 queuing model using poisson and exponential distribution |
publisher |
IEEE |
publishDate |
2016 |
url |
http://psasir.upm.edu.my/id/eprint/56053/1/Traffic%20behavior%20of%20local%20area%20network%20based%20on%20MM1%20queuing%20model%20using%20Poisson%20and%20exponential%20distribution.pdf http://psasir.upm.edu.my/id/eprint/56053/ |
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