The exponential growth of mobile applications and services during the last years has
challenged the existing network infrastructures. Consequently, the arrival of multiple …

With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …

The estimation of the quality of transmission (QoT) in optical systems with machine learning
(ML) has recently been the focus of a large body of research. We discuss the sources of …

Cloud-fog computing emerges to satisfy the low latency and high computation requirements
of Internet of Things (IoT) services. Elastic optical networks (EONs) are excellent substrate …

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 …

Communication networks are expanding rapidly and becoming increasingly complex. As a
consequence, the conventional rule-based algorithms or protocols may no longer perform at …

The development of digital twins to represent the optical transport network might enable
multiple applications for network operation, including automation and fault management. In …

In optical networks, a connection (eg, light-path and light-tree) is set up to carry data from its
source to destination (s). When the optical signal transmits through the fiber links and optical …

During the last decade, optical networks have become “smart networks”. Software-defined
networks, software-defined optical networks, and elastic optical networks are some …

Abstract Enterprise Information System (EIS) is based on Internet of things (IoT) and
aggregates a large amount of data of companies. Real-time reliable data transmission and …