K Nsafoa-Yeboah, ET Tchao… - Journal of Computer …, 2022 - Wiley Online Library
Optical networks offer a wide range of benefits to the telecommunication sector worldwide with their provision of higher bandwidth, which leads to faster data speed, longer …
This paper proposes a self-taught anomaly detection framework for optical networks. The proposed framework makes use of a hybrid unsupervised and supervised machine learning …
H Yang, Y Wan, Q Yao, B Bao, C Li, Z Sun… - Journal of Lightwave …, 2022 - opg.optica.org
With the emergence of new services, the complex optical network environment makes it more difficult to predict network anomalies. This paper proposes a multi-index anomaly …
S Petale, J Thangaraj - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
In traditional networks, the pre-routed packets are dropped during the link failure leading to a huge data loss. Survivability techniques such as protection and restoration are available to …
The rapid increase of the internet users has resulted in significant growth of the online traffic, hence, putting more demand on the network. This has led to a high prevalence of link …
As natural disasters (eg, earthquake, tsunami, hurricane, etc.) frequently threaten and damage the widely-deployed telecom infrastructure, maintaining the connectivity …
Z Zhao, L Guo, B Wu - Journal of Lightwave Technology, 2024 - ieeexplore.ieee.org
We propose Machine Learning-based Monitoring Trail (mlm-trail) to monitor optical path failures for large model training. Existing monitoring trail (m-trail) method can only localize …
M Zhang, B Xu, X Li, M Yin, B Wu, K Qiu - Optical Engineering, 2019 - spiedigitallibrary.org
Soft failure with lower optical signal-to-noise ratio (OSNR) might reduce the quality of the supported services. When the soft failure is detected, the affected existing lightpaths are …