Adaptive Maximums of Random Variables for Network Simulations
In order to enhance the precision of network simulations, the paper proposes an approach to adaptively decide the maximum of random variables that create the discrete probabilities to generate nodal traffic on simulated networks. In this paper, a statistical model is first suggested to manifest the...
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| Format: | Article |
| Language: | English |
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Wiley
2009-01-01
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| Series: | Journal of Computer Systems, Networks, and Communications |
| Online Access: | http://dx.doi.org/10.1155/2009/383720 |
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| _version_ | 1832545510543589376 |
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| author | Rong Nan Chiou Chia-Nian Shyi |
| author_facet | Rong Nan Chiou Chia-Nian Shyi |
| author_sort | Rong Nan Chiou |
| collection | DOAJ |
| description | In order to enhance the precision of network simulations, the paper proposes an approach to adaptively decide the maximum of random variables that create the discrete probabilities to generate nodal traffic on simulated networks. In this paper, a statistical model is first suggested to manifest the bound of statistical errors. Then, according to the minimum probability that generates nodal traffic, a formula is proposed to decide the maximum. In the formula, a precision parameter is used to present the degree of simulative accuracy. Meanwhile, the maximum adaptively varies with the traffic distribution among nodes because the decision depends on the minimum probability generating nodal traffic. In order to verify the effect of the adaptive maximum on simulative precision, an optical network is introduced. After simulating the optical network, the theoretic average waiting time of nodes on the optical network is exploited to validate the exactness of the simulation. The proposed formula deciding the adaptive maximum can be generally exploited in the simulations of various networks. Based on the precision parameter K, a recursive procedure will be developed to automatically produce the adaptive maximum for network simulations in the future. |
| format | Article |
| id | doaj-art-62bbba04512042b3ad1e81e6b8f7137c |
| institution | Kabale University |
| issn | 1687-7381 1687-739X |
| language | English |
| publishDate | 2009-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Computer Systems, Networks, and Communications |
| spelling | doaj-art-62bbba04512042b3ad1e81e6b8f7137c2025-02-03T07:25:36ZengWileyJournal of Computer Systems, Networks, and Communications1687-73811687-739X2009-01-01200910.1155/2009/383720383720Adaptive Maximums of Random Variables for Network SimulationsRong Nan Chiou0Chia-Nian Shyi1Department of Computer Science and Information Engineering, Southern Taiwan University, No. 1, Nan-Tai Street, Yung-Kang, Tainan 71005, TaiwanDepartment of Computer Science and Information Engineering, Southern Taiwan University, No. 1, Nan-Tai Street, Yung-Kang, Tainan 71005, TaiwanIn order to enhance the precision of network simulations, the paper proposes an approach to adaptively decide the maximum of random variables that create the discrete probabilities to generate nodal traffic on simulated networks. In this paper, a statistical model is first suggested to manifest the bound of statistical errors. Then, according to the minimum probability that generates nodal traffic, a formula is proposed to decide the maximum. In the formula, a precision parameter is used to present the degree of simulative accuracy. Meanwhile, the maximum adaptively varies with the traffic distribution among nodes because the decision depends on the minimum probability generating nodal traffic. In order to verify the effect of the adaptive maximum on simulative precision, an optical network is introduced. After simulating the optical network, the theoretic average waiting time of nodes on the optical network is exploited to validate the exactness of the simulation. The proposed formula deciding the adaptive maximum can be generally exploited in the simulations of various networks. Based on the precision parameter K, a recursive procedure will be developed to automatically produce the adaptive maximum for network simulations in the future.http://dx.doi.org/10.1155/2009/383720 |
| spellingShingle | Rong Nan Chiou Chia-Nian Shyi Adaptive Maximums of Random Variables for Network Simulations Journal of Computer Systems, Networks, and Communications |
| title | Adaptive Maximums of Random Variables for Network Simulations |
| title_full | Adaptive Maximums of Random Variables for Network Simulations |
| title_fullStr | Adaptive Maximums of Random Variables for Network Simulations |
| title_full_unstemmed | Adaptive Maximums of Random Variables for Network Simulations |
| title_short | Adaptive Maximums of Random Variables for Network Simulations |
| title_sort | adaptive maximums of random variables for network simulations |
| url | http://dx.doi.org/10.1155/2009/383720 |
| work_keys_str_mv | AT rongnanchiou adaptivemaximumsofrandomvariablesfornetworksimulations AT chianianshyi adaptivemaximumsofrandomvariablesfornetworksimulations |