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Missouri University of Science and Technology
Artificial intelligence<br />Netcentric computing<br />Network performance (Telecommunication)<br />Neural networks (Computer science)<br />Telecommunication -- Traffic -- Evaluation
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Full-Text Articles in Systems Engineering
Modeling Network Traffic On A Global Network-Centric System With Artificial Neural Networks, Douglas K. Swift
Modeling Network Traffic On A Global Network-Centric System With Artificial Neural Networks, Douglas K. Swift
Doctoral Dissertations
"This dissertation proposes a new methodology for modeling and predicting network traffic. It features an adaptive architecture based on artificial neural networks and is especially suited for large-scale, global, network-centric systems. Accurate characterization and prediction of network traffic is essential for network resource sizing and real-time network traffic management. As networks continue to increase in size and complexity, the task has become increasingly difficult and current methodology is not sufficiently adaptable or scaleable. Current methods model network traffic with express mathematical equations which are not easily maintained or adjusted. The accuracy of these models is based on detailed characterization of …