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

In the last twenty years, optical networks have witnessed recurrent changes in their
management and control architecture. In this paper, we present a historical timeline and a …

Despite the increased exploration of machine learning (ML) techniques for the realization of
autonomous optical networks, less attention has been paid to data quality, which is critical …

Automated fault management is at the forefront of next-generation optical communication
networks. The increase in complexity of modern networks has triggered the need for …

Optical network automation and failure management require measuring the status and the
performance of the different network devices to anticipate any degradation and ensure the …

This tutorial considers the evolution of software-defined networking (SDN) control for optical
transport networks (OTNs) in disaggregated scenarios, focusing on its requirements and …

The deployment of 5G and network slicing has challenged the current network management
requirements, triggering the need for programmable and software-driven architectures …

The emergence and consolidation of increasingly programmable optical devices such as
transceivers, amplifiers, multiplexers, or ROADMs—which allow their remote configuration …

Whereas the access segment of data communications was a relatively late adopter of optical
technologies compared with backbone and metro, it quickly became the main battleground …

Autonomic networking and monitoring will drive the evolution of next generation software
defined networking (SDN) optical networks towards the zero touch networking paradigm …