Intelligent service orchestration for EON-assisted power communication network

Yijie Li; Shina Xu; Zanhong Wu; Xiaozhi Deng

doi:10.1117/12.2659129

23 November 2022 Intelligent service orchestration for EON-assisted power communication network

Yijie Li, Shina Xu, Zanhong Wu, Xiaozhi Deng

Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 1245409 (2022) https://doi.org/10.1117/12.2659129
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China

Abstract

The explosive growth of data volume and dimension poses a huge challenge on service carrying capacity of power communication network with limited spectrum resources. The combination of software defined network (SDN) and elastic optical network (EON) in power communication network, i.e., EON-assisted power communication network, provides a feasible solution. To alleviate the waste of spectrum caused by non-uniform service orchestration in EON-assisted power communication network under incomplete information, this paper proposes a machine learning-based intelligent service orchestration algorithm for EON-assisted power communication network. The proposed algorithm dynamically learns spectrum allocation based on local historical information to minimize network overhead. Simulation results demonstrate that the proposed algorithm has superior performances in network overhead and selection probability of optimal arm.

Citation Download Citation

Yijie Li, Shina Xu, Zanhong Wu, and Xiaozhi Deng "Intelligent service orchestration for EON-assisted power communication network", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 1245409 (23 November 2022); https://doi.org/10.1117/12.2659129

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