Patent · US Active

Application monitoring and failure prediction

US10127125B2 · kind B2 · utility

10Cited by

2References

7Claims

0Family size

Assignee

ACCENTURE GLOBAL SOLUTIONS LIMITED · IE

Inventors

Mythili Krishnan · Kanchinakote, IN
Vijay Desai · San Diego, US
Narayanaswamy Thimmappa · Bengaluru, IN
Mriga Bansal · Bengaluru, IN
Kunal Bhowmick · Bengaluru, IN

Key dates

Filing date	Oct 21, 2016
Grant date	Nov 13, 2018
Priority date	—
Expiry date	Dec 31, 2036

Classification

Technology area (CPC G)Physics
CPC primaryG06F2201/81
WIPO fieldComputer technology
WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.