Computing architecture deployment configuration recommendation using machine learning
US10810502B2 · kind B2 · utility
4Cited by
1References
19Claims
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Key dates
| Filing date | Dec 1, 2017 |
| Grant date | Oct 20, 2020 |
| Priority date | — |
| Expiry date | Dec 17, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Data is received that characterizes a software system. Thereafter, using at least one machine learning model trained using historical testing data from a plurality of training software systems, a recommended computing architecture is generated for the software system. Data can then be provided that characterizes the software system. Related apparatus, systems, techniques and articles are also described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.