Ciena Corporation

Saurabh Dinesh Brahmankar

David Côté

Thomas Triplet

Arslan Shahid

Sudhan Puranik

Bruck Wubete

Phillip Doelling

Dirk Tempel

Yogeshwar Chatur Deore

Maheshwaran Venkatachalam

Systems and methods for analyzing and prioritizing alarms in a communications network are provided. A method, according to one implementation, includes the step of obtaining network information regarding the condition of a network. Using the network information, the method further includes performing a hybrid Machine Learning (ML) technique that includes training and inference of a plurality of ML models to calculate metrics of the network. Also, the method includes the step of selecting one of the plurality of ML models based on a combination of the metrics.

Switching among multiple machine learning models during training and inference

Systems and methods for analyzing root-causes of Wi-Fi issues in a Wi-Fi system associated with a Local Area Network (LAN) are described in the present disclosure. A method, according to one embodiment, includes a step of monitoring a Wi-Fi system associated with a LAN to detect authentication failures in the Wi-Fi system. In response to detecting an authentication failure in the Wi-Fi system, the method also includes the step of analyzing the authentication failure to determine one or more root-causes of the authentication failure. The method also includes pushing changes to the Wi-Fi system to automatically remediate the one or more root-causes in the Wi-Fi system.

Root-cause analysis and automated remediation for Wi-Fi authentication failures

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Pune, India

Saurabh Dinesh Brahmankar