Anomaly detection and classification using telemetry data
US10511545B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 13, 2018 |
| Grant date | Dec 17, 2019 |
| Priority date | — |
| Expiry date | Dec 13, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L61/4511
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Historical telemetry data can be used to generate predictions for various classes of data at various aggregates of a system that implements an online service. An anomaly detection process can then be utilized to detect anomalies for a class of data at a selected aggregate. An example anomaly detection process includes receiving telemetry data originating from a plurality of client devices, selecting a class of data from the telemetry data, converting the class of data to a set of metrics, aggregating the set of metrics according to a component of interest to obtain values of aggregated metrics over time for the component of interest, determining a prediction error by comparing the values of the aggregated metrics to a prediction, detecting an anomaly based at least in part on the prediction error, and transmitting an alert message of the anomaly to a receiving entity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.