Anomaly Detection and Health-Status Analysis in a Core Router System
Shi Jin, Zhaobo Zhang, Krishnendu Chakrabarty, Xinli Gu · IEEE Design and Test · 2019
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.