Anwendungsüberwachung und Ausfallvorhersage

Details

Veröffentlichungs-Nr.

EP3312725

Aktenzeichen

EP17192985

Anmeldetag

25. September 2017

Veröffentlichung

1. Juli 2020

Erteilung

1. Juli 2020

Rechtsraum

EP

IPC

G06F11/00G06F11/07G06F11/30G06F11/34G06N5/02G06N5/00G06N20/20// G06F11/22

Abstract

Data from an application is analyzed periodically in real-time using a predictive data model to predict potential application failures. Application logs are used to build the predictive data model. The predictive data model includes features created from the application logs which are good predictors of application failures. The predictive data model analyzes and provides anomaly scores for various anomalies for the real-time data collected over a time period. The anomaly scores are compared with a threshold score to predict the probability of occurrences of application failures. If there is a higher probability of occurrence of an incident of application failure, corrective actions to mitigate or reduce the probability of occurrence of the application failure are implemented.

Anmelder

Firma

Accenture Global Solutions Limited

Land

🇮🇪 Irland

Fachgebiete