Fault localization based on knowledge graph in software-defined optical networks
In the era of the fifth-generation fixed network (F5G), optical networks must be developed to
support large bandwidth, low latency, high reliability, and intelligent management. Studies …
support large bandwidth, low latency, high reliability, and intelligent management. Studies …
Coordination between control layer AI and on-board AI in optical transport networks
In optical transport networks, the urgent demand for control efficiency and intelligence has
become one of the most significant challenges for telecom operators. With the development …
become one of the most significant challenges for telecom operators. With the development …
Demonstration of alarm knowledge graph construction for fault localization on ONOS-based SDON platform
We demonstrate construction of alarm knowledge graphs, which is helpful for fault
localization in software defined optical networks (SDON). The demonstration shows the …
localization in software defined optical networks (SDON). The demonstration shows the …
Dirty-data-based alarm prediction in self-optimizing large-scale optical networks
Machine-learning-based solutions are showing promising results for several critical issues
in large-scale optical networks. Alarm (caused by failure, disaster, etc.) prediction is an …
in large-scale optical networks. Alarm (caused by failure, disaster, etc.) prediction is an …
Utilizing hybrid computing models for network monitoring and security analysis through optical network modeling and data analytics
S Reddy, A Rastogi, M Gupta, V Sharma… - Optical and Quantum …, 2024 - Springer
Safe and reliable data transport over optical networks is essential for a high-speed Internet.
Optical fibres are the backbone of the Internet, allowing billions of people around the world …
Optical fibres are the backbone of the Internet, allowing billions of people around the world …
First demonstration of imbalanced data learning-based failure prediction in self-optimizing optical networks with large scale field topology
Machine learning is a promising solution to address some issues in large scale optical
networks. Failure prediction is a typical application which can be completed by the aid of …
networks. Failure prediction is a typical application which can be completed by the aid of …
Machine leaning solution based on gradient descent algorithm for improved business process outcomes
I Dimitrovska, T Malinovski… - International Journal of …, 2021 - inderscienceonline.com
This study aims to provide guidelines that can help organisation identify preconditions
before they can employ machine learning, as well as provide evidence that machine …
before they can employ machine learning, as well as provide evidence that machine …
Demonstration of Joint Optimization between Cloud AI and On-board AI in Optical Transport Networks
Demonstration of Joint Optimization between Cloud AI and On-board AI in Optical Transport
Networks Page 1 XXX-X-XXXX-XXXX-X/XX/$XX.00 ©20XX IEEE Demonstration of Joint …
Networks Page 1 XXX-X-XXXX-XXXX-X/XX/$XX.00 ©20XX IEEE Demonstration of Joint …
Failure Disposal by Interaction of the Cross-layer Artificial Intelligence on ONOS-based SDON Platform
Failure Disposal by Interaction of the Cross-layer Artificial Intelligence on ONOS-based
SDON Platform Page 1 M3Z.15.pdf OFC 2019 © OSA 2019 Failure Disposal by Interaction …
SDON Platform Page 1 M3Z.15.pdf OFC 2019 © OSA 2019 Failure Disposal by Interaction …