Analyzing database cluster behavior by transforming discrete time series measurements
US9424288B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 8, 2013 |
| Grant date | Aug 23, 2016 |
| Priority date | — |
| Expiry date | Sep 30, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/34
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, system, and computer program product for analyzing performance of a database cluster. Disclosed are techniques for analyzing performance of components of a database cluster by transforming many discrete event measurements into a time series to identify dominant signals. The method embodiment commences by sampling the database cluster to produce a set of timestamped events, then pre-processing the timestamped events by tagging at least some of the timestamped events with a semantic tag drawn from a semantic dictionary and formatting the set of timestamped events into a time series where a time series entry comprises a time indication and a plurality of values corresponding to signal state values. Further techniques are disclosed for identifying certain signals from the time series to which is applied various statistical measurement criteria in order to isolate a set of candidate signals which are then used to identify indicative causes of database cluster behavior.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.