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Demo paper: Scalable Architecture for Cloud-native Transport SDN Controller Using GNPy and Machine Learning techniques for QoT estimation

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Authors
Carlos Manso
Ricard Vilalta
Raul Muñoz
Ricardo Martínez
Ramón Casellas

This demo shows a cloud-native SDN controller that can estimate end-to-end QoT using both analytical (GNPy) and machine learning algorithms on WDM systems. This transport SDN controller is able to scale horizontally using custom metrics.

Open Access version
https://zenodo.org/record/5087383#.YpSWiqhBzcc
Published
2021 Optical Fiber Communications Conference and Exhibition (OFC2021)
Publication type
Conferences
https://ieeexplore.ieee.org/document/9489436
 

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101015857.

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