Today's telecommunication networks have become sources of enormous amounts of widely
heterogeneous data. This information can be retrieved from network traffic traces, network …

Networks are complex interacting systems involving cloud operations, core and metro
transport, and mobile connectivity all the way to video streaming and similar user …

Failure management plays a significant role in optical networks. It ensures secure operation,
mitigates potential risks, and executes proactive protection. Machine learning (ML) is …

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) …

The availability of coarse-resolution cost-effective optical spectrum analyzers (OSAs) allows
their widespread deployment in operators' networks. In this paper, we explore several …

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 …

In optical transport networks the quality of transmission (QoT) is estimated before
provisioning new connections or upgrading existing ones. Traditionally, a physical layer …

For optical networks, routing and resource allocation which considerably determines the
resource efficiency and network capacity is one of the most important works. It has been …

Operators' network management continuously measures network health by collecting data
from the deployed network devices; data is used mainly for performance reporting and …

We have developed a fiber-longitudinal monitor that visualizes distance-wise optical power
throughout the entire multi-span link by using the signal waveform obtained by a coherent …