Abstract
The main goal of presented research is to discover a new method of process analysis for predicting, testing and modeling network traffic.
Presented method is applicable not only for learning traffic behavior, but also for many industrial tasks, for instance mechanical products testing.
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Acknowledgments
Our research group of Amur State University thanks Raul and Natalia Nakhmanson-Kulish for professional help and effective discussion; Sergey Sayanovich Ohotnikov for a great help with technical equipment; Prof. Dr. Evgeniy Leonidovich Eremin and Dmitriy D. Gazzaev for reviewing research values, Prof. Dr. Andreas Polze for collaboration.
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Sychev, I., Sycheva, I. (2010). Method of a Signal Analysis for Imitation Modeling in a Real-Time Network. In: Sobh, T., Elleithy, K., Mahmood, A. (eds) Novel Algorithms and Techniques in Telecommunications and Networking. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3662-9_34
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DOI: https://doi.org/10.1007/978-90-481-3662-9_34
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