The increase in computing capacity and the huge amount of available data have
significantly accelerated the use of artificial intelligence and machine learning algorithms to …

Optical networking is fast evolving towards the applications of the Software-defined
Networking (SDN) paradigm down to the (Wavelength-division Multiplexing) WDM transport …

This paper provides an overview of the missing pieces currently preventing effective
application of machine learning in the field. We discuss access to field data and we perform …

Elastic Optical Networks (EON) provide better spectrum allocation flexibility and scalability
than traditional Wavelength Division Multiplexing networks and are suitable to support the …

Dynamic and flexible optical networks are among the evolution scenarios of the optical
transport networks. These form the basis of the new generation of optical networks of …

Machine Learning in Multi-Layer Optical Networks: Why and How Page 1 M1B.1.pdf OFC 2020
© OSA 2020 Abstract and bio Machine Learning in Multi-Layer Optical Networks: Why and How …

Software Defined Networking represents a mature technology for the control of optical
networks, though all open controller implementations present in the literature still lack the …

As optical networks undergo rapid development, the trade-offs among higher network
service capability, and increasing operating expense (OPEX) about operations …

We provide an overview of artificial intelligence techniques and their use in optical
communication systems and networks with the aim of improving performance. Areas of …

There has been an increase in demand of optical networks over the recent years due to
which they have become sources of heterogeneous data. Several other challenges such as …