A survey of machine learning techniques applied to software defined networking (SDN): Research issues and challenges

J Xie, FR Yu, T Huang, R Xie, J Liu… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …

Machine learning for network automation: overview, architecture, and applications [Invited Tutorial]

D Rafique, L Velasco - Journal of Optical Communications and …, 2018 - ieeexplore.ieee.org
Networks are complex interacting systems involving cloud operations, core and metro
transport, and mobile connectivity all the way to video streaming and similar user …

An optical communication's perspective on machine learning and its applications

FN Khan, Q Fan, C Lu, APT Lau - Journal of Lightwave …, 2019 - ieeexplore.ieee.org
Machine learning (ML) has disrupted a wide range of science and engineering disciplines in
recent years. ML applications in optical communications and networking are also gaining …

Machine learning techniques for optical performance monitoring and modulation format identification: A survey

WS Saif, MA Esmail, AM Ragheb… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The trade-off between more user bandwidth and quality of service requirements introduces
unprecedented challenges to the next generation smart optical networks. In this regard, the …

A survey of networking applications applying the software defined networking concept based on machine learning

Y Zhao, Y Li, X Zhang, G Geng, W Zhang, Y Sun - IEEE access, 2019 - ieeexplore.ieee.org
The main task of future networks is to build, as much as possible, intelligent networking
architectures for intellectualization, activation, and customization. Software-defined …

Data mining in predictive maintenance systems: A taxonomy and systematic review

A Esteban, A Zafra, S Ventura - Wiley Interdisciplinary Reviews …, 2022 - Wiley Online Library
Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …

Machine learning for intelligent optical networks: A comprehensive survey

R Gu, Z Yang, Y Ji - Journal of Network and Computer Applications, 2020 - Elsevier
With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …

A tutorial on machine learning for failure management in optical networks

F Musumeci, C Rottondi, G Corani… - Journal of Lightwave …, 2019 - opg.optica.org
Failure management plays a role of capital importance in optical networks to avoid service
disruptions and to satisfy customers' service level agreements. Machine learning (ML) …

A review of machine learning-based failure management in optical networks

D Wang, C Zhang, W Chen, H Yang, M Zhang… - Science China …, 2022 - Springer
Failure management plays a significant role in optical networks. It ensures secure operation,
mitigates potential risks, and executes proactive protection. Machine learning (ML) is …

Accurate fault location using deep neural evolution network in cloud data center interconnection

H Yang, X Zhao, Q Yao, A Yu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Due to the threat of failure and the discrete distribution of data center users, the research of
distributed cloud data center provides real-time cloud services with robustness, reliability …