MetricSifter: Feature Reduction of Multivariate Time Series Data for Efficient Fault Localization in Cloud Applications

Automated fault localization in large-scale cloud-based applications is challenging because it involves mining multivariate time series data from large volumes of operational monitoring metrics. To improve localization accuracy, automated fault localization methods incorporate feature reduction to r...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE access 2024-01, Vol.12, p.1-1
Hauptverfasser: Tsubouchi, Yuuki, Tsuruta, Hirofumi
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!