Real-time traffic management in computer networks

Abstract

The paper considers the problem of modeling time-critical networks in order to study the effectiveness of various real-time traffic management methods.

Relevance. Real-time network modeling is an active area of research in computer science and information technology. Research in this area is aimed at developing methods and algorithms for efficient real-time data transmission. The work is devoted to modeling time-sensitive networks using various real-time traffic management methods.

Goal. The purpose of the work was to analyze existing real-time network standards, develop a simulation model of a real-time network, and investigate the effectiveness of various real-time traffic management methods.

Research methods. The research methods are based on modern theories of mathematical modeling, simulation modeling, and telecommunications standards, namely Time-Sensitive Networking (TSN).

The results. The standards of real-time networks were thoroughly investigated. Detailed attention was paid to TSN (Time Sensitive Network) technology, the problem of achieving synchronization in such networks and various methods of traffic generation were investigated; the obtained analytical results were checked for compliance with the TSN network specification. OMNeT++ software was used for modeling real-time networks. End-to-end delay graphs were constructed for each traffic generation method under different to conditions of real-time networks.

Conclusions. The paper considered TSN standard networks for reliable real-time communication and increase versatility in industrial networks. The problem of achieving synchronization of devices in the TSN network was investigated, various methods of traffic planning were considered, the importance of using end-to-end switching technology was established, a simulation model of the TSN network was developed.