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[HTML][HTML] Hybrid SDN evolution: A comprehensive survey of the state-of-the-art
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 …
has been adopted by large network and cloud providers, among which are Tech Giants …
Machine learning for intelligent optical networks: A comprehensive survey
With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …
services and technologies, communication networks have been suffering increasing …
A tutorial on machine learning for failure management in optical networks
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) …
disruptions and to satisfy customers' service level agreements. Machine learning (ML) …
Latency-sensitive edge/cloud serverless dynamic deployment over telemetry-based packet-optical network
The serverless technology, introduced for data center operation, represents an attractive
technology for latency-sensitive applications operated at the edge, enabling a resource …
technology for latency-sensitive applications operated at the edge, enabling a resource …
Monitoring and data analytics for optical networking: benefits, architectures, and use cases
Operators' network management continuously measures network health by collecting data
from the deployed network devices; data is used mainly for performance reporting and …
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
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 …
proposed framework makes use of a hybrid unsupervised and supervised machine learning …
Machine learning for optical network security monitoring: A practical perspective
In order to accomplish cost-efficient management of complex optical communication
networks, operators are seeking automation of network diagnosis and management by …
networks, operators are seeking automation of network diagnosis and management by …
P4 edge node enabling stateful traffic engineering and cyber security
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 …
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
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 …
the received telemetry data. However, in certain cases, particularly in disaggregated …
OpenConfig and OpenROADM automation of operational modes in disaggregated optical networks
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 …
partial disaggregation, in which the optical line system is provided by a single vendor while …