Survey on machine learning for traffic-driven service provisioning in optical networks
T Panayiotou, M Michalopoulou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The unprecedented growth of the global Internet traffic, coupled with the large spatio-
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …
The evolution of quality assurance and service improvement in satellite telecommunications through analytics: a review of initiatives and their impacts
NA Ochuba, DO Olutimehin, OG Odunaiya… - Engineering Science & …, 2024 - fepbl.com
Satellite telecommunications have undergone significant evolution, driven by the need for
enhanced quality assurance and service improvement. This paper provides a …
enhanced quality assurance and service improvement. This paper provides a …
Deep learning-based real-time analysis of lightpath optical constellations
M Ruiz, D Sequeira, L Velasco - Journal of Optical Communications …, 2022 - opg.optica.org
Optical network automation requires accurate physical layer models, not only for
provisioning but also for real-time analysis. In particular, in-phase (I) and quadrature (Q) …
provisioning but also for real-time analysis. In particular, in-phase (I) and quadrature (Q) …
Scaling optical interconnects for hyperscale data center networks
C Xie, B Zhang - Proceedings of the IEEE, 2022 - ieeexplore.ieee.org
Due to widespread applications and rapid development of cloud computing and Internet
services, hyperscale data centers have experienced an unprecedented demand for …
services, hyperscale data centers have experienced an unprecedented demand for …
Machine learning for optical network security monitoring: A practical perspective
In order to accomplish cost-efficient management of complex optical communication
networks, operators are seeking automation of network diagnosis and management by …
networks, operators are seeking automation of network diagnosis and management by …
Soft-failure detection, localization, identification, and severity prediction by estimating QoT model input parameters
The performance of optical devices can degrade because of aging and external causes like,
for example, temperature variations. Such degradation might start with a low impact on the …
for example, temperature variations. Such degradation might start with a low impact on the …
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 …
OCATA: a deep-learning-based digital twin for the optical time domain
The development of digital twins to represent the optical transport network might enable
multiple applications for network operation, including automation and fault management. In …
multiple applications for network operation, including automation and fault management. In …
Comprehensive model for technoeconomic studies of next-generation central offices for metro networks
JA Hernández, M Quagliotti, L Serra… - Journal of Optical …, 2020 - ieeexplore.ieee.org
This paper introduces a novel and simplified cost model for designing and evaluating a
Central Office Rearchitected as a Datacenter (CORD). The model includes equipment and …
Central Office Rearchitected as a Datacenter (CORD). The model includes equipment and …
Intent-based networking and its application to optical networks [Invited Tutorial]
The intent-based networking (IBN) paradigm targets defining high-level abstractions so
network operators can define what their desired outcomes are without specifying how they …
network operators can define what their desired outcomes are without specifying how they …