To support the pervasive digital evolution, optical network infrastructures must be able to quickly and effectively adapt to changes arising from traffic dynamicity or external factors …
Scalable and Efficient Pipeline for ML-based Optical Network Monitoring Page 1 Scalable and Efficient Pipeline for ML-based Optical Network Monitoring Carlos Natalino,1,* Lluis Gifre2 …
Conference title, upper and lower case, bolded, 18 point type, centered Page 1 Telemetry Framework with Data Sovereignty Features B. Shariati1, H. Qarawlus2, S. Biehs2, J.-J …
Demonstration of Data-Sovereign Telemetry Broker for Open and Disaggregated Optical Networks Page 1 Demonstration of Data-Sovereign Telemetry Broker for Open and …
Conference title, upper and lower case, bolded, 18 point type, centered Page 1 * Geronimo Bergk is now with Horváth AG, Rotebühlstraße 100, 70178 Stuttgart, Germany. Autonomous …
We demonstrate a real-time ML-assisted network automation pipeline for dynamic, autonomous link-capacity allocation based on traffic-flow forecasting for optical metro …
S Shen, J Han, H Li, Y Teng, S Yan… - 2024 24th …, 2024 - ieeexplore.ieee.org
With the advancement of machine learning (ML) in network automation, the importance of telemetry and monitoring across entire optical networks is paramount. Traditional, localized …
The paper introduces a new open laboratory, the F5G OpenLab, which aims at fostering the advancement of fiber-based solutions for everything. F5G OpenLab intends to aid in creating …