Learning by inference from brownfield deployments
AssigneeCisco Technology, Inc.
InventorsJason David Notari, Manish Chandra Agrawal, Liqin Dong, Lukas Krattiger, Patnala Debashis Rao
Life of this patent
Estimating the term…
Loading patent…
AssigneeCisco Technology, Inc.
InventorsJason David Notari, Manish Chandra Agrawal, Liqin Dong, Lukas Krattiger, Patnala Debashis Rao
Estimating the term…
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.
A method for deployment of a Greenfield device, the method comprising:
A system comprising:
At least one non-transitory computer-readable storage medium having stored therein instructions which, when executed by one or more processors, cause the one or more processors to:
Dependencies are inferred from the claim text.