Mathematical models for network card simulation and their empirical validations
Network simulations mostly focus on protocol observation, development, and prediction. However, newly developed protocol will take time to become standard and be implemented on network devices. A faster way of network improvement is to optimize existing network card parameters, because they are gene...
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Institute of Electrical and Electronics Engineers Inc.
2016
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my.utp.eprints.309102022-03-25T07:43:23Z Mathematical models for network card simulation and their empirical validations Nurika, O. Hassan, M.F. Zakaria, N. Jung, L.T. Network simulations mostly focus on protocol observation, development, and prediction. However, newly developed protocol will take time to become standard and be implemented on network devices. A faster way of network improvement is to optimize existing network card parameters, because they are generic and protocol-independent. In this paper, we propose mathematical models to represent network card parameters, thus their optimal configuration can be predicted, which then will accelerate the reduced network speed caused by unoptimized network hardware. The simulation gaps that we fulfill are the inclusion of transmission size, packet polling based on timer, and packet polling based on watermark or packet capture threshold. The results generated and their validations show the accuracy of our models. © 2015 IEEE. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995639329&doi=10.1109%2fISMSC.2015.7594029&partnerID=40&md5=27ddb6e5519d301d129c933ae002eae6 Nurika, O. and Hassan, M.F. and Zakaria, N. and Jung, L.T. (2016) Mathematical models for network card simulation and their empirical validations. In: UNSPECIFIED. http://eprints.utp.edu.my/30910/ |
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Network simulations mostly focus on protocol observation, development, and prediction. However, newly developed protocol will take time to become standard and be implemented on network devices. A faster way of network improvement is to optimize existing network card parameters, because they are generic and protocol-independent. In this paper, we propose mathematical models to represent network card parameters, thus their optimal configuration can be predicted, which then will accelerate the reduced network speed caused by unoptimized network hardware. The simulation gaps that we fulfill are the inclusion of transmission size, packet polling based on timer, and packet polling based on watermark or packet capture threshold. The results generated and their validations show the accuracy of our models. © 2015 IEEE. |
format |
Conference or Workshop Item |
author |
Nurika, O. Hassan, M.F. Zakaria, N. Jung, L.T. |
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Nurika, O. Hassan, M.F. Zakaria, N. Jung, L.T. Mathematical models for network card simulation and their empirical validations |
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Nurika, O. Hassan, M.F. Zakaria, N. Jung, L.T. |
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Nurika, O. |
title |
Mathematical models for network card simulation and their empirical validations |
title_short |
Mathematical models for network card simulation and their empirical validations |
title_full |
Mathematical models for network card simulation and their empirical validations |
title_fullStr |
Mathematical models for network card simulation and their empirical validations |
title_full_unstemmed |
Mathematical models for network card simulation and their empirical validations |
title_sort |
mathematical models for network card simulation and their empirical validations |
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Institute of Electrical and Electronics Engineers Inc. |
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2016 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995639329&doi=10.1109%2fISMSC.2015.7594029&partnerID=40&md5=27ddb6e5519d301d129c933ae002eae6 http://eprints.utp.edu.my/30910/ |
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