Software development for research of data transfer rate in the corporate network

E.N. Antonyants, A.O. Amelchenko, E.E. Istratova


The article presents the results of designing and researching a client-server application for studying the characteristics of the corporate network. To implement the software,  comparison of program-analyzers of network traffic was carried out, their distinctive characteristics were identified, and an algorithm for organizing the process of collecting and processing key parameters of the corporate network network traffic was developed. The development of a software product for predicting changes in the characteristics of the corporate network over time was carried out using the object-oriented programming language C# and socket technology. The article also presents both the results of software development for analyzing the data transfer rate and network traffic delay, and the results of research on the process of transmitting audio and video streams in the corporate network. Based on the results obtained, the regularity of changes in the values of data transfer rate and network traffic delay time in the network during the day, depending on the length of packets, was revealed, after which a regression model was compiled that allows predicting the values of the main characteristics of the network. The results of the research made it possible to conclude that the developed software product can be used for monitoring and planning data transmission processes in the company's corporate network.

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Vasilenko, K. A. et al. Network traffic in WINDOWS operating systems: comparison and analysis of its generation // Engineering Bulletin of Don. – 2019. – No. 9. – P. 19.

Markin, Yu. V. Methods and tools for in-depth analysis of network traffic // abstract dis. candidate of technical sciences / Institute of systems programming. Moscow. – 2017.

Abramkina, O. A. Analysis of network traffic using the «Wireshark» program: TCP sessions, information retrieval. – 2015. – P. 10.

Getman A.I. Approaches to presenting the results of network traffic analysis // Proceedings of ISP RAS. 2016. No. 6. URL: (date accessed: 10/22/2020).

Official WireShark resource. URL:

Official Bandwidth Monitor Pro resource / URL:

Official tcpdump resource. URL:

Burns S. Hands-On Network Programming with C# and. NET Core: Build robust network applications with C# and. NET Core. – Packt Publishing Ltd, 2019.

Nagel C. Professional C# 7 and. NET Core 2.0. – John Wiley & Sons, 2018.

Kornelyuk V. V., Skakun V. V. Network programming technologies. № UD-4623 / uch. – 2017.

Doni F. R. Network computer remotely by the application of the Hamachi VPN //Evolution: journal of science and management. – 2019. – Т. 7. – №. 1.

AL-Dhief F. T. et al. Performance Comparison between TCP and UDP Protocols in Different Simulation Scenarios // International Journal of Engineering & Technology. – 2018. – T. 7. – No. 4.36. – P. 172-176.

Preobrazhensky Yu. P. On the characteristics of protection in network information systems // Modern materials, equipment and technology. – 2019 . P. 160-163.

Fazylov LI, Aminova RR Estimation of information transfer rate for networks operating in the room // xxiii Tupolev readings (school of young scientists). – 2017 . – P. 372-376.

Matveev V. A., Belfer R. A., Kravtsov V. Analysis of technologies for building a data transmission network with high requirements for information security, reliability and delay // Elektrosvyaz. – 2017. – No. 5. – P. 70-73.

Kataev M.Yu., Krupskiy A.S. Capacity estimation based on the homogeneous network model // TUSUR reports. 2015. No. 2 (36). S. 108-112


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Abava  Absolutech Convergent 2020

ISSN: 2307-8162