[HTML][HTML] Machine learning-based zero-touch network and service management: A survey
J Gallego-Madrid, R Sanchez-Iborra, PM Ruiz… - Digital Communications …, 2022 - Elsevier
The exponential growth of mobile applications and services during the last years has
challenged the existing network infrastructures. Consequently, the arrival of multiple …
challenged the existing network infrastructures. Consequently, the arrival of multiple …
A survey on QoT prediction using machine learning in optical networks
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 …
source to destination (s). When the optical signal transmits through the fiber links and optical …
Optical network security management: requirements, architecture, and efficient machine learning models for detection of evolving threats
As the communication infrastructure that sustains critical societal services, optical networks
need to function in a secure and agile way. Thus, cognitive and automated security …
need to function in a secure and agile way. Thus, cognitive and automated security …
Hierarchical reinforcement learning in multi-domain elastic optical networks to realize joint RMSA
To improve the network scalability, a large elastic optical network is typically segmented into
multiple autonomous domains, where each domain possesses high autonomy and privacy …
multiple autonomous domains, where each domain possesses high autonomy and privacy …
Performance studies of evolutionary transfer learning for end-to-end QoT estimation in multi-domain optical networks
This paper proposes an evolutionary transfer learning approach (Evol-TL) for scalable
quality-of-transmission (QoT) estimation in multi-domain elastic optical networks (MD …
quality-of-transmission (QoT) estimation in multi-domain elastic optical networks (MD …
Evol-TL: evolutionary transfer learning for QoT estimation in multi-domain networks
Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks Page
1 Th3D.1.pdf OFC 2020 © OSA 2020 Evol-TL: Evolutionary Transfer Learning for QoT …
1 Th3D.1.pdf OFC 2020 © OSA 2020 Evol-TL: Evolutionary Transfer Learning for QoT …
CompQoTE: Generalizing QoT estimation with composable ML and end-to-end learning
CompQoTE: Generalizing QoT Estimation with Composable ML and End-to-End Learning Page
1 CompQoTE: Generalizing QoT Estimation with Composable ML and End-to-End Learning …
1 CompQoTE: Generalizing QoT Estimation with Composable ML and End-to-End Learning …
On the suitability, requisites, and challenges of machine learning
RM Morais - Journal of Optical Communications and Networking, 2021 - opg.optica.org
The introduction of 5G, the increasing number of connected devices, and the exponential
growth of services relying on connectivity are pressuring multilayer networks to improve their …
growth of services relying on connectivity are pressuring multilayer networks to improve their …
HPDST: Holding pathlength domain scheduled traffic strategy for multi-domain optical networks
In this paper, we proposed a resources allocation strategy for Routing and Wavelength
Assignment (RWA) problem in Multi-Domain Optical Networks (MDONs). In the proposed …
Assignment (RWA) problem in Multi-Domain Optical Networks (MDONs). In the proposed …
Multi-agent and cooperative deep reinforcement learning for scalable network automation in multi-domain SD-EONs
The service provisioning in multi-domain software-defined elastic optical networks (SD-
EONs) is an interesting but difficult problem to tackle, because the basic problem of lightpath …
EONs) is an interesting but difficult problem to tackle, because the basic problem of lightpath …