Automatische Unterdrückung von Nichtaktionsfähigen Alarmen mit Maschinenlernen
Anmelder: Ciena Corporation 🇺🇸
Details
- Veröffentlichungs-Nr.
- EP4149075
- Aktenzeichen
- EP22193945
- Anmeldetag
- 5. September 2022
- Veröffentlichung
- 17. Juli 2024
- Erteilung
- 17. Juli 2024
- Rechtsraum
- EP
- IPC
- H04L41/06H04L41/16
Abstract
Systems and methods (100) include receiving (102) alarms from a network; utilizing (104) a machine learning model to classify the alarms as one of important and non-important; and displaying (106) the important alarms and suppressing display of the non-important alarms. The systems and methods can further include training (108) the machine learning model with historical alarm data that includes features related to an associated device and comments related to how a Network Operations Center (NOC) handles an associated alarm or group of alarms. The training (108) can be via supervised machine learning with the features used as labels or via reinforcement learning with the features used as a reward.
Anmelder
- Firma
- Ciena Corporation
- Land
- 🇺🇸 USA
US-amerikanisches Technologieunternehmen für Netzwerkinfrastruktur, entwickelt optische Übertragungssysteme und Software für Telekommunikationsnetze.
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