Intent Defined Optical Network: Toward Artificial Intelligence-Based Optical Network Automation

Kaixuan Zhan; Hui Yang; Qiuyan Yao; Qiuyan Yao; Xudong Zhao; Ao Yu; Jie Zhang; Young Lee

doi:10.1364/OFC.2020.T3J.6

Optical Fiber Communication Conference (OFC) 2020
OSA Technical Digest (Optica Publishing Group, 2020),
paper T3J.6
•https://doi.org/10.1364/OFC.2020.T3J.6

Intent Defined Optical Network: Toward Artificial Intelligence-Based Optical Network Automation

Kaixuan Zhan, Hui Yang, Qiuyan Yao, Xudong Zhao, Ao Yu, Jie Zhang, and Young Lee

Optical Fiber Communication Conference 2020

San Diego, California United States
8–12 March 2020
ISBN: 978-1-943580-71-2

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Orchestration and Control (T3J)

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K. Zhan, H. Yang, Q. Yao, X. Zhao, A. Yu, J. Zhang, and Y. Lee, "Intent Defined Optical Network: Toward Artificial Intelligence-Based Optical Network Automation," in Optical Fiber Communication Conference (OFC) 2020, OSA Technical Digest (Optica Publishing Group, 2020), paper T3J.6.

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Abstract

Toward AI-based optical network automated operation, we propose an intent defined optical network (IDON) architecture with self-adapted generation and optimization (SAGO) policy. The feasibility and efficiency are verified on the enhanced SDN testbed.

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