Automatic Anomaly Detection in the Cloud Via Statistical Learning

Performance and high availability have become increasingly important drivers, amongst other drivers, for user retention in the context of web services such as social networks, and web search. Exogenic and/or endogenic factors often give rise to anomalies, making it very challenging to maintain high...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2017-04
Hauptverfasser:	Jordan Hochenbaum, Vallis, Owen S, Kejariwal, Arun
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Median (statistics) Service oriented architecture Social networks Supervised learning Time series Web services
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!