Reporting continuous system service status based on using real-time short-term and long-term analysis techniques
US10819593B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 8, 2020 |
| Grant date | Oct 27, 2020 |
| Priority date | — |
| Expiry date | Jan 8, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/145
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A system monitors applications, analyzes metrics, and provides a dashboard that communicates whether an application is performing as expected. The metric analysis includes performing one or more of a first short term data analysis, a second short term analysis based on machine learning-based pattern recognition machines, and a long-term analysis is performed. Transaction performance metrices are determined based on the monitored of the application. The transaction performance metrices are scored, scaled, and aggregated into a single scaled representation for the application. The scaled application value is then reported to a user through a dynamically updated dashboard. The dashboard displays graphical information representing the health of monitored transactions over time. The reported information can be expanded to additional layers of detail.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.