Deep Reinforced Energy Efficient Traffic Grooming in Fog-Cloud Elastic Optical Networks

We propose a novel energy efficient traffic grooming algorithm based on deep reinforcement learning in fog-cloud elastic optical networks. Simulation results show that it can achieve much lower energy consumption than the state-of-art algorithm.