… IOTs), artificial intelligence-intensive services … optical network to meet a better utilization of
available transmission capacity [2]. In such a network, it is essential to monitor various network …

… Machine learning techniques are widely used for prediction and … operation and design of
optical networks; for a comprehensive … in optical data center networks for resource allocation. …

… optical networking technologies. To satisfy the ever-increasing capacity demand, optical
network architecture is being transformed to the software-defined elastic optical network (SD-…

… artificial intelligence and machine learning techniques in the physical and network layer in
optical networks … allocation, connection establishment, network reconfiguration and QoS, and …

… In adaptive networks such as an elastic optical network (EON), the optical network fiber link
state will be heterogeneous and dynamic, and the network architecture will be more complex …

… design and management of optical networks. In the past few years, machine learning (ML) …
frameworks that model the propagation of the optical signal along the fiber core. The former …

… One of the key problems in the establishment of a selfdriving optical network is the automatic
provisioning of lightpaths. Lightpaths accumulate impairments that may degrade the quality …

… For the development of 5G network artificial intelligence, relevant staff must plan their own
prospects, and 5G network artificial intelligence has become more and more complicated. …

… On the other hand, optical packet’s contention is a severe issue in the core of OPS networks.
Optical networks must adopt the dynamic conditions of the environment to fulfil Quality of …

… Abstract—Machine Learning (ML) is under intense investigation in optical networks as it …
(ILP) formulation for RSA in an elastic optical network. In this integrated procedure, the RSA …