Abstract
This article shows how to use Hidden Markov Models to generate self-similar traffic. The well-known Bellcore traces are used as a training sequence to learn HMM model parameters. Performance of trained model are tested on the remaining portions of the sequences.Then we can use the HMM trained with the Bellcore data as the traffic source model.
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Domańska, J., Domański, A., Czachórski, T. (2011). Internet Traffic Source Based on Hidden Markov Model. In: Balandin, S., Koucheryavy, Y., Hu, H. (eds) Smart Spaces and Next Generation Wired/Wireless Networking. ruSMART NEW2AN 2011 2011. Lecture Notes in Computer Science, vol 6869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22875-9_36
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DOI: https://doi.org/10.1007/978-3-642-22875-9_36
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