Optimizing application performance with machine learning
US11620173B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 26, 2021 |
| Grant date | Apr 4, 2023 |
| Priority date | — |
| Expiry date | Jul 2, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/3051
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Media, methods, and systems are disclosed for optimizing performance of a running application in connection with a group-based communication system. Log data is collected regarding prior metrics for applications that have encountered performance events. Application state information is monitored and a machine-learning model mapping application metrics to performance outcomes predicts whether the running application will encounter a performance event. The machine-learning model mapping application metrics to performance outcomes is trained based on the collected logs. Based on whether a degradation outcome will be impactful, an application performance parameter may be degraded.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.