Learning by inference from previous deployments
US11558252B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 19, 2021 |
| Grant date | Jan 17, 2023 |
| Priority date | — |
| Expiry date | Aug 19, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/0894
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present technology provides a system, method and computer-readable medium for configuration pattern recognition and inference, directed to a device with an existing configuration, through an extensible policy framework. The policy framework uses a mixture of python template logic and CLI micro-templates as a mask to infer the intent behind an existing device configuration in a bottom-up learning inference process. Unique values for device/network identifiers and addresses as well as other resources are extracted and accounted for. The consistency of devices within the fabric is checked based on the specific policies built into the extensible framework definition. Any inconsistencies found are flagged for user correction or automatically remedied by a network controller. This dynamic configuration pattern recognition ability allows a fabric to grow without being destroyed and re-created, thus new devices with existing configurations may be added and automatically configured to grow a Brownfield fabric.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.