ANALYSIS QUALITY OF SERVICE AND QUALITY OF EXPERIENCE INDICATORS IN THE SDN NETWORK

ANALYSIS QUALITY OF SERVICE AND QUALITY OF EXPERIENCE INDICATORS IN THE SDN NETWORK

Authors

  • Bayram Ibrahimov National Defence University of Azerbaijan, Azerbaijan Technical University, Republic of Azerbaijan Baku Engineering University, Republic of Azerbaijan
  • Saмina Rustamova Nakhchivan State University,,Republic of Azerbaijan
  • Azer Ibrahimov Baku Engineering University, Republic of Azerbaijan

DOI:

https://doi.org/10.36074/grail-of-science.17.04.2026.072

Keywords:

quality of service, communication networks, switch, software defined networking, quality of experience

Summary

The efficiency and probabilistic-time characteristics multiservice telecommunications networks are analyzed in a study of the quality of service traffic packet flows and the quality of perception of the transmission system. The research objectives and analysis QoS and QoE indicators for heterogeneous traffic in multiservice communication networks using SDN (Software Defined Networking) technology with load balancing are considered. The foundation of a load balancing scheme in an SDN network is continuous monitoring server load indicators and the implementation probabilistic-temporal characteristics. Therefore, this work also focuses on the development of a load balancing scheme using a hybrid SDN network environment consisting of a controller, the OpenFlow protocol, and a switch.

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Author Biographies

Bayram Ibrahimov , National Defence University of Azerbaijan, Azerbaijan Technical University, Republic of Azerbaijan Baku Engineering University, Republic of Azerbaijan

Professor

Saмina Rustamova, Nakhchivan State University,,Republic of Azerbaijan

PhD candidate

Azer Ibrahimov, Baku Engineering University, Republic of Azerbaijan

PhD candidate

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Published

17.04.2026

Number of views 71

How to Cite

Ibrahimov , B., Rustamova, S., & Ibrahimov, A. (2026). ANALYSIS QUALITY OF SERVICE AND QUALITY OF EXPERIENCE INDICATORS IN THE SDN NETWORK. Grail of Science, (66), 681–686. https://doi.org/10.36074/grail-of-science.17.04.2026.072

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