Autonomies in policy based network management

In this paper, we have devised a reinforcement learning algorithm, which helps in enabling autonomic control loops in Policy based Autonomic Network Management (PBANM). We have proposed two autonomic control loops for optimal configuration and policy optimization in PBANM system. Simulations are performed to validate our proposal.