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International Conference on Computer Networks

CN 2018: Computer Networks pp 13–25Cite as

Researching Measured and Modeled Traffic with Self-similar Properties for Ateb-Modeling Method Improvement

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 860))

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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Author information

Authors and Affiliations

  1. ACS Department, Lviv Polytechnic National University, 12 Bandera Street, Lviv, Ukraine

    Olga Fedevych & Ivanna Dronyuk

  2. Division of Microengineering and Photovoltaics, Wrocław University of Science and Technology, 27 Wybrzeze Wyspiańskiego, Wrocław, Poland

    Danylo Lizanets

Authors
  1. Olga Fedevych
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  2. Ivanna Dronyuk
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  3. Danylo Lizanets
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Corresponding author

Correspondence to Olga Fedevych .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Piotr Gaj

  2. Silesian University of Technology, Gliwice, Poland

    Michał Sawicki

  3. University of Opole, Opole, Poland

    Grażyna Suchacka

  4. Silesian University of Technology, Gliwice, Poland

    Andrzej Kwiecień

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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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  • DOI: https://doi.org/10.1007/978-3-319-92459-5_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92458-8

  • Online ISBN: 978-3-319-92459-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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