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Marginless Operation of Optical Networks

2018; Institute of Electrical and Electronics Engineers; Volume: 37; Issue: 7 Linguagem: Inglês

10.1109/jlt.2018.2881840

1558-2213

Camille Delezoide, K. Christodoulopoulos, Aristotelis Kretsis, N. Argyris, Giannis Kanakis, Andrea Sgambelluri, N. Sambo, Pietro G. Giardina, Giacomo Bernini, D. Roccato, Alessandro Percelsi, Roberto Morro, H. Avramopoulos, Emmanouel Varvarigos, P. Castoldi, Patricia Layec, S. Bigo,

Advanced Optical Network Technologies

Considering flexible technologies available nowadays, operating optical networks much closer to their physical capacities is very tempting but necessarily requires efficient network automation. To achieve this, the two main challenges are handling failures, and accurately predicting performance in dynamic environments. We experimentally demonstrate the ability of the ORCHESTRA solution for early detection and localization of failures, to preventively mitigate their impact, and thus guarantee smooth network operation. Then, leveraging machine learning for live performance estimation and closed-loop software-defined network control, we demonstrate a fully automated reconfiguration of marginless connections undergoing critical performance variations over 228 km of field-deployed fiber.