Anomaly Detection and Health-Status Analysis in a Core Router System | IEEE Journals & Magazine | IEEE Xplore

Anomaly Detection and Health-Status Analysis in a Core Router System


Abstract:

Editor's note: Rapid error discovery is crucial for timely correction mechanisms and reliable router systems. Aiming to achieve a high degree of reliability, this article...Show More

Abstract:

Editor's note: Rapid error discovery is crucial for timely correction mechanisms and reliable router systems. Aiming to achieve a high degree of reliability, this article presents a machine-learning framework for analyzing router time series to evaluate the health status and detect anomalies while accounting for the important temporal characteristics of complex communication systems.
Published in: IEEE Design & Test ( Volume: 36, Issue: 5, October 2019)
Page(s): 7 - 17
Date of Publication: 19 March 2019

ISSN Information:


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