Skip to main content

Ateb-Modeling Method Application for High Quality Video Traffic Modeling

  • Conference paper
Computer Networks (CN 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1039))

Included in the following conference series:

Abstract

This paper presents the procedure of implementing Ateb-modeling method, used for high definition video traffic samples. The subject of the study were high definition video traffic samples with different characteristics. It was shown, that those traffic samples have a self-similar nature, so the developed method could be used for modeling of future traffic values. Simulation tests were prepared to show the adequacy of used Ateb-modeling method for chosen high definition video samples. The obtained research results indicate the need to adapt the proposed method of modeling traffic values for 8K high definition video samples.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Cisco website: Index, Cisco Visual Networking. Forecast and methodology, 2015–2020 white paper. Retrieved 1st June (2017). Accessed 20 Dec 2018

    Google Scholar 

  2. Sandvine website: Downstream traffic statistic. https://www.sandvine.com/. Accessed 18 Oct 2018

  3. Statista website: Most popular online video properties in the United States. https://www.statista.com/. Accessed 15 Sep 2018

  4. Domański, A., Domańska, J., Czachórski, T., Klamka, J., Marek, D., Szyguła, J.: The influence of the traffic self-similarity on the choice of the non-integer order \(PI^\alpha \) controller parameters. Commun. Comput. Inf. Sci. 935, 76–83 (2018). https://doi.org/10.1007/978-3-030-00840-6_9

    Article  Google Scholar 

  5. Bagchi, S.: Computational analysis of network ODE systems in metric spaces: an approach. J. Comput. Sci. Sci. Publ. 13(1), 1–10 (2017). https://doi.org/10.3844/jcssp.2017.1.10

    Article  MathSciNet  Google Scholar 

  6. Tanwir, S., Perros, H.G.: VBR Video Traffic Models. Wiley, Hoboken (2014). 148 P

    Book  Google Scholar 

  7. Kastrinakis, M., Badawy, G., Smadi, M.N., Koutsakis, P.: Video frame size modeling for user-generated traffic in an enterprise-like environment. Comput. Commun. 109, 24–37 (2017). https://doi.org/10.1016/j.comcom.2017.05.008

    Article  Google Scholar 

  8. Liew, C.H., Kodikara, C., Kondoz, A.M.: Video traffic model for MPEG4 encoded video. In: 62nd IEEE VTS Vehicle Technology Conference, vol. 3. pp. 1854–1858 (2005). https://doi.org/10.1109/VETECF.2005.1558427

  9. Fedevych, O., Dronyuk, I., Lizanets, D.: Researching measured and modeled traffic with self-similar properties for ateb-modeling method improvement. In: Gaj, P., Sawicki, M., Suchacka, G., Kwiecień, A. (eds.) CN 2018. CCIS, vol. 860, pp. 13–25. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92459-5_2

    Chapter  Google Scholar 

  10. Demydov, I., Dronyuk, I., Fedevych, O., Romanchuk, V.: Traffic fluctuations optimization for telecommunication SDP segment based on forecasting using ateb-functions. In: Kryvinska, N., Greguš, M. (eds.) Data-Centric Business and Applications. LNDECT, vol. 20, pp. 71–88. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-94117-2_4

    Chapter  Google Scholar 

  11. Pathan, A.-S.K., Monowar, M.M., Khan, S.: Simulation Technologies in Networking and Communications. CRC Press, Boca Raton (2014)

    Book  Google Scholar 

  12. Cajueiro, D., Tabak, B.: The rescaled variance statistic and the determination of the Hurst exponent. Math. Comput. Simul. 70, 172–179 (2005). https://doi.org/10.1016/j.matcom.2005.06.005

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Olga Fedevych .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Cite this paper

Fedevych, O., Droniuk, I., Lizanets, D., Klishch, Y., Polziukov, V. (2019). Ateb-Modeling Method Application for High Quality Video Traffic Modeling. In: Gaj, P., Sawicki, M., Kwiecień, A. (eds) Computer Networks. CN 2019. Communications in Computer and Information Science, vol 1039. Springer, Cham. https://doi.org/10.1007/978-3-030-21952-9_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-21952-9_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21951-2

  • Online ISBN: 978-3-030-21952-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics