Marco Ruffini works at Trinity College.

Posts

Optical Network Tomography over Live Production Network in Multi-Domain Environment

We report the first trial of network tomography over a live network in a multi-domain environ­ment. We visualize end-to-end optical powers along multiple routes across multiple domains solely from a commercial B00G transponder, enabling performance bottleneck localization, power and routing opti­mization, and lightpath provisioning.

Toward Intelligent and Efficient Optical Networks: Performance Modeling, Co-existence, and Field Trials

Optical transmission networks require intelligent traffic adaptation and efficient spectrum usage. We present scalable machine learning (ML) methods for network performance modeling, andfield trials of distributed fiber sensing and classic optical network traffic coexistence.

Scalable Machine Learning Models for Optical Transmission System Management

Optical transmission systems require accurate modeling and performance estimation for autonomous adaption and reconfiguration. We present efficient and scalable machine learning (ML) methods for modeling optical networks at component- and network-level with minimizeddata collection.