Abstract
In this paper, improvements in the traffic behavior modeling method based on the consideration of traffic self-similarity properties was proposed. Two methods for calculating the Hurst parameter were used: R/S plot method and V/S analysis method. The research was carried out on real traffic network data, collected from LPNU ACS Department. The selected methods were implemented in the corresponding software. The work of the methods was illustrated in experimental calculations. Also, the results was shown in the form of both tables and plots.
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Fedevych, O., Dronyuk, I., Lizanets, D. (2018). Researching Measured and Modeled Traffic with Self-similar Properties for Ateb-Modeling Method Improvement. In: Gaj, P., Sawicki, M., Suchacka, G., Kwiecień, A. (eds) Computer Networks. CN 2018. Communications in Computer and Information Science, vol 860. Springer, Cham. https://doi.org/10.1007/978-3-319-92459-5_2
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