Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 36,
  • Issue 7,
  • pp. 1443-1450
  • (2018)

Cognitive Assurance Architecture for Optical Network Fault Management

Not Accessible

Your library or personal account may give you access

Abstract

In face of staggering traffic growth driven by cloud-based platforms, modern optical networks—forming the backbone of such connectivity—are faced with increasing requirements in terms of operational reliability. The challenge is that of cognition-driven learning and fault management workflows, cost-effectively assuring the next-generation networks. Machine learning, an artificial intelligence tool, can be conceived as an extremely promising instrument to address network assurance via dynamic data-driven operation, as opposed to static pre-engineered solutions. In this paper, we propose and demonstrate a cognitive fault detection architecture for intelligent network assurance. We introduce the concept of cognitive fault management, elaborate on its integration in transport software defined network controller, and demonstrate its operation based on real-world fault examples. Our framework both detects and identifies significant faults, and outperforms conventional fixed threshold-triggered operations, both in terms of detection accuracy and proactive reaction time.

© 2017 IEEE

PDF Article
More Like This
Optical network security management: requirements, architecture, and efficient machine learning models for detection of evolving threats [Invited]

Marija Furdek, Carlos Natalino, Andrea Di Giglio, and Marco Schiano
J. Opt. Commun. Netw. 13(2) A144-A155 (2021)

Cognitive Dynamic Optical Networks [Invited]

Ignacio de Miguel, Ramón J. Durán, Tamara Jiménez, Natalia Fernández, Juan Carlos Aguado, Rubén M. Lorenzo, Antonio Caballero, Idelfonso Tafur Monroy, Yabin Ye, Andrzej Tymecki, Ioannis Tomkos, Marianna Angelou, Dimitrios Klonidis, Antonio Francescon, Domenico Siracusa, and Elio Salvadori
J. Opt. Commun. Netw. 5(10) A107-A118 (2013)

Machine Learning for Network Automation: Overview, Architecture, and Applications [Invited Tutorial]

Danish Rafique and Luis Velasco
J. Opt. Commun. Netw. 10(10) D126-D143 (2018)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved