Published June 6, 2021 | Version v1
Conference paper Open

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

Creators

  • 1. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)

Description

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. © 2021 The Author(s)

Notes

Grant numbers : AURORAS - Autonomic and disaggregated optical networks leveraging edge computing and photonic technologies (RTI2018-099178-B-I00) project.

Files

Scalable for Cloud-native Transport SDN.pdf

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Additional details

Funding

European Commission
TeraFlow – Secured autonomic traffic management for a Tera of SDN flows 101015857