Patent · US Active

Detection of anomalies in error signals of cloud based service

US9378079B2 · kind B2 · utility

12Cited by

3References

20Claims

0Family size

Assignee

MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

Olga B. Ivanova · Redmond, US
Smita Ojha · Seattle, US
Alexandre de Baynast · Aachen, DE
Markus Cozowicz · Salzburg, AT
Ulrich Pinsdorf · Aachen, DE
Yi Wang · Redmond, US
Philipp Kranen · Aachen, DE
Venkat Narayanan · San Diego, US

Key dates

Filing date	Sep 2, 2014
Grant date	Jun 28, 2016
Priority date	—
Expiry date	Jan 3, 2035

Classification

Technology area (CPC G)Physics
CPC primaryG06F2201/88
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Anomalies detection in error signals of a cloud based service is provided. An application such as an analysis application identifies a machine learning algorithm that matches error signals of components of a cloud based service. A periodic pattern from the error signals is removed with the machine learning algorithm to filter the periodic pattern from an error count in the error signals. The error signals are processed with the machine learning algorithm to detect one or more anomalies with the components. The machine learning algorithm is updated while processing new data to detect new patterns.

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