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Conferences > OFC > 2020 > M1A > M1A.4

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

Ruijie Zhu, Shihua Li, Peisen Wang, Lulu Li, Aretor Samuel, and Yongli Zhao

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Abstract

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.

© 2020 The Author(s)

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