Methods and systems for predicting time of server failure using server logs and time-series data
US11558272B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 15, 2021 |
| Grant date | Jan 17, 2023 |
| Priority date | — |
| Expiry date | Sep 15, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/106
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosure relates to methods and systems for predicting time of occurrence of future server failures using server logs and a stream of numeric time-series data occurred with a particular time window. Method performed by processor includes accessing plurality of server logs and stream of numeric time-series data, applying density and sequential machine learning model over plurality of server logs for obtaining first and second outputs, respectively, applying a stochastic recurrent neural network model over the stream of time-series data to obtain third output. The method includes aggregating first, second, and third outputs using an ensemble model, predicting likelihood of at least one future server anomaly based on the aggregating, and determining time of occurrence of the at least one future server anomaly by capturing server behavior characteristics using time-series network model. The server behavior characteristics include time-series patterns of the stream of numeric time-series data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.