Calculation of Quality Indicators of the Future Multiservice Network

  • Conference paper
  • First Online:
Future Intent-Based Networking

Abstract

This article discusses the main indicators of the quality of the multiservice network, such as: delay; delay variation (jitter); number of packets with errors; number of lost packets. Not all types of traffic are sensitive to packet transmission delays, in any case, to the values of delays that are characteristic of multiservice networks. The purpose of this study is to assess the quality of the multiservice network using simulation. The analysis of network behavior when different types of traffic enter the network is performed: real-time traffic, data traffic and mixed traffic. The obtained data showed that the most critical to changes in the parameters of the multiservice network is such a quality indicator as the delay time, i.e. a slight change in network parameters significantly changes this quality indicator.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Zhurakovskyi, B., Tsopa, N., Batrakand, Y., et al.: Comparative analysis of modern formats of lossy audiocompression [electronic resource]. In: CEUR Workshop Proceedings (2020). http://ceur-ws.org/Vol-2654/paper25.pdf

  2. Ibrahimov, B.G., Alieva, A.A.: Research and analysis of quality of service indicators for multimedia traffic using fuzzy logic. In: 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing, ICAFS 2020, pp. 773–780 (2020)

    Google Scholar 

  3. Loukodes, M.K.: Switching to VoIP, 453 p. O Relly Media Inc. (2005)

    Google Scholar 

  4. Druzhynin, V., Toliupa, S., Pliushch, O., Stepanov, M., Zhurakovskyi, B.: Features of processing signals from stationary radiation sources in multi-position radio monitoring systems. In: CEUR Workshop Proceedings, vol. 2746, pp. 46–65 (2020). http://ceur-ws.org/Vol-2746/

  5. Zhurakovskyi, B., Boiko, J., Druzhynin, V., Zeniv, I., Eromenko, O.: Increasing the efficiency of information transmission in communication channels. Indonesian J. Electr. Eng. Comput. Sci. 19(3), 1306 (2020)

    Article  Google Scholar 

  6. Zhurakovskyi, B.Y., Moshenchenko, M.S., Zhurakovskyi, V.B.: Algorithm for detecting and troubleshooting multiservice networks. Aktualnye nauchnye issledovania v sovremennom mire, vol. 5, pp. 94–101 (2020). (in Ukrainian)

    Google Scholar 

  7. Rakushev, M., Kovbasiuk, S., Kravchenko, Y., Pliushch, O.: Robustness evaluation of differential spectrum of integration computational algorithms. In: Proceeding of the 2017 4th International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T 2017, January 2018, pp. 21–24 (2018)

    Google Scholar 

  8. Zhurakovskiy, B., Tsopa, N.: Assessment technique and selection of interconnecting line of information networks [electronic resource]. In: Proceedings of the 3rd International Conference on Advanced Information and Communications Technologies (AICT), pp. 71–75 (2019). https://doi.org/10.1109/AIACT.2019.8847726

  9. Euler, L.: Integral Calculus, vol. 1, 415 p. GITTL, Moscow (1956). (in Russian)

    Google Scholar 

  10. Berkman, L., Tkachenko, O., Turovsky, O., Fokin, V., Strelnikov, V.: Designing a system to synchronize the input signal in a telecommunication network under the condition for reducing a transitional component of the phase error. East.-Eur. J. Enterp. Technol. 1(9(109)), 66–76 (2021)

    Google Scholar 

  11. Nedashkivskiy, O., Havrylko, Y., Zhurakovskyi, B., et al.: Mathematical support for automated design systems for passive optical networks based on the β-parametric approximation formula. Int. J. Adv. Trends Comput. Sci. Eng. 9(5), 8207–8212 (2020). https://doi.org/10.30534/ijatcse/2020/186952020

  12. Berkman, L., Tkachenko, O., Kriuchkova, L., Varfolomeeva, O.: Determination of criteria for choosing the best ways and indicators of service quality in infocommunication networks. In: Proceedings of the 2019 3rd International Conference on Advanced Information and Communications Technologies, AICT 2019, pp. 223–226 (2019)

    Google Scholar 

  13. Kremenetskaya, Y., Makarenko, A., Markov, S., Koval, V.: Limitations of efficiency of wireless systems of telecommunications 5G and methods of their compensation. In: Proceedings of the 2019 IEEE International Scientific-Practical Conference: Problems of Infocommunications Science and Technology, PIC S and T 2019, pp. 493–496 (2019)

    Google Scholar 

  14. Tkachenko, O., Eremeev, Y.: Methods of measuring of loading and indexes of quality of service. In: Proceedings of the 10th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science, TCSET 2010, p. 254 (2010)

    Google Scholar 

  15. Bichkov, O.S., Nakonechnyi, V.S., Lukova-Chuiko, N.V., Zhebka, V.V., Panayotova, G.S., Dimitrov, D.A.: Measuring the effectiveness of a radio-identification system. J. Commun. 15, 669–675 (2020). https://doi.org/10.12720/jcm.15.9.669-675

    Article  Google Scholar 

  16. Olifer, N.: Service quality. A simple increase in throughput does not guarantee the performance of applications. Zhurnal setevyh reshenii/LAN (2002). (in Russian)

    Google Scholar 

  17. Pliushch, O., et al.: Performance study of spread spectrum systems with hard limiters. Int. J. Comput. Netw. Inf. Secur. 12(5), 1–15 (2020)

    Google Scholar 

  18. Krukhmalev, V.V.: Fundamentals of building telecommunication systems and networks, 510 p. Goriachaialiniia: Telecom, Moscow (2004). (in Russian)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bohdan Zhurakovskyi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhurakovskyi, B., Toliupa, S., Druzhynin, V., Bondarchuk, A., Stepanov, M. (2022). Calculation of Quality Indicators of the Future Multiservice Network. In: Klymash, M., Beshley, M., Luntovskyy, A. (eds) Future Intent-Based Networking. Lecture Notes in Electrical Engineering, vol 831. Springer, Cham. https://doi.org/10.1007/978-3-030-92435-5_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-92435-5_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-92433-1

  • Online ISBN: 978-3-030-92435-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Navigation