Ciena Corporation

Paul Gosse

Petar Djukic

Todd D Morris

David Côté

Thomas Triplet

Emil Janulewicz

Dana Dennis

Patrick Premont

Systems and methods for detecting patterns in data from a time-series are provided. According to some implementations, the systems and methods may use network topology information combined with object recognition techniques to detect patterns. One embodiment of a method includes the steps of obtaining information defining a topology of a multi-layer network having a plurality of Network Elements (NEs) and a plurality of links interconnecting the NEs and receiving Performance Monitoring (PM) metrics and one or more alarms from the multi-layer network. Based on the information defining the topology, the PM metrics, and the one or more alarms, the method also includes the step of utilizing a Machine Learning (ML) process to identify a problematic component from the plurality of NEs and links and to identify a root cause associated with the problematic component.

Identifying and locating a root cause of issues in a network having a known topology

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Ottawa, Canada

Paul Gosse