A Smart Software Defined Network Architecture for Self-Learning Control Strategies

In software defined networks the control plane largely relies on a manual process in configuring forwarding strategies. To address this issue, this work presents an intelligent architecture for self-learning control strategies in SDN networks. NetworkAI employs deep reinforcement learning and incorporates network monitoring technologies such as the in-band network telemetry to dynamically generate control policies and produces a near optimal decision