OPTIMIZATION OF NETWORK TRAFFIC WITH THE HELP OF ARTIFICIAL INTELLIGENCE BASED ON EDGE COMPUTING: A NEW METHODOLOGICAL APPROACH

This article proposes an integrated approach of Edge Computing and artificial intelligence (AI) technologies to solve the problems of latency, high network load, and efficient resource utilization in computer networks. A new methodology has been developed that allows analyzing, predicting, and controlling network traffic in real-time. The study shows the mechanisms of effective use of AI algorithms on edge platforms and their impact on traffic optimization. It is emphasized that with the help of AI, edge infrastructure achieves a significant reduction in network latency and optimization of traffic load. The article is based on theoretical foundations, simulation modeling, and comparative analysis results.