Дослідження механізмів керування трафіком у корпоративних мережах

Abstract

Effective management of network traffic in corporate networks is becoming critically important to ensure stable operation and high quality of service. Despite the availability of various tools for classifying, restricting, and allocating different types of traffic, this task remains complex and multifaceted. Traffic management systems must provide not only load balancing, but also the ability to respond adaptively to changes in the network environment. Therefore, the use of machine learning and artificial intelligence technologies will allow analysing large amounts of data in real time, predicting user behaviour and automatically adjusting resource allocation at intermediate network points.