[HTML][HTML] Hybrid SDN evolution: A comprehensive survey of the state-of-the-art

S Khorsandroo, AG Sánchez, AS Tosun, JM Arco… - Computer Networks, 2021 - Elsevier
Abstract Software-Defined Networking (SDN) is an evolutionary networking paradigm which
has been adopted by large network and cloud providers, among which are Tech Giants …

Machine learning for intelligent optical networks: A comprehensive survey

R Gu, Z Yang, Y Ji - Journal of Network and Computer Applications, 2020 - Elsevier
With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …

A tutorial on machine learning for failure management in optical networks

F Musumeci, C Rottondi, G Corani… - Journal of Lightwave …, 2019 - opg.optica.org
Failure management plays a role of capital importance in optical networks to avoid service
disruptions and to satisfy customers' service level agreements. Machine learning (ML) …

Latency-sensitive edge/cloud serverless dynamic deployment over telemetry-based packet-optical network

I Pelle, F Paolucci, B Sonkoly… - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
The serverless technology, introduced for data center operation, represents an attractive
technology for latency-sensitive applications operated at the edge, enabling a resource …

Monitoring and data analytics for optical networking: benefits, architectures, and use cases

L Velasco, AC Piat, O Gonzlez, A Lord, A Napoli… - IEEE …, 2019 - ieeexplore.ieee.org
Operators' network management continuously measures network health by collecting data
from the deployed network devices; data is used mainly for performance reporting and …

Self-taught anomaly detection with hybrid unsupervised/supervised machine learning in optical networks

X Chen, B Li, R Proietti, Z Zhu… - Journal of Lightwave …, 2019 - ieeexplore.ieee.org
This paper proposes a self-taught anomaly detection framework for optical networks. The
proposed framework makes use of a hybrid unsupervised and supervised machine learning …

Machine learning for optical network security monitoring: A practical perspective

M Furdek, C Natalino, F Lipp, D Hock… - Journal of Lightwave …, 2020 - opg.optica.org
In order to accomplish cost-efficient management of complex optical communication
networks, operators are seeking automation of network diagnosis and management by …

P4 edge node enabling stateful traffic engineering and cyber security

F Paolucci, F Civerchia, A Sgambelluri… - Journal of Optical …, 2019 - opg.optica.org
Next-generation edge nodes interfacing innovative IT clusters, 5G fronthaul, and internet of
things (IoT) gateways to the optical metro/core network will require advanced and dynamic …

Machine-learning-based soft-failure localization with partial software-defined networking telemetry

KS Mayer, JA Soares, RP Pinto… - Journal of Optical …, 2021 - opg.optica.org
Soft-failure localization frameworks typically use if-else rules to localize failures based on
the received telemetry data. However, in certain cases, particularly in disaggregated …

OpenConfig and OpenROADM automation of operational modes in disaggregated optical networks

A Sgambelluri, A Giorgetti, D Scano, F Cugini… - IEEE …, 2020 - ieeexplore.ieee.org
OpenConfig and OpenROADM are emerging as the most relevant initiatives to support
partial disaggregation, in which the optical line system is provided by a single vendor while …