Optimizing Network Performance with AI-Enabled Adaptive Routing in SDN

As various Internet applications continue to demand high-speed, reliable, and efficient network performance, network administrators are faced with the challenge of optimizing network performance. To address this issue, this paper proposes an adaptive dynamic routing framework that decouples demand perception from decision-making, dynamically configuring network resources based on rapid real-time network demand and resource awareness. The proposed approach is evaluated by simulation and compared with the traditional routing method. The results show that our proposed approach achieves satisfactory results in reducing network congestion and improving network performance.