The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 17, 2023

Filed:

Aug. 19, 2021
Applicant:

Cisco Technology, Inc., San Jose, CA (US);

Inventors:

Jason David Notari, Pleasanton, CA (US);

Manish Chandra Agrawal, San Jose, CA (US);

Liqin Dong, San Jose, CA (US);

Lukas Krattiger, Pleasanton, CA (US);

Patnala Debashis Rao, Cupertino, CA (US);

Assignee:

Cisco Technology, Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 41/08 (2022.01); H04L 41/0654 (2022.01); H04L 41/0816 (2022.01); H04L 41/0873 (2022.01); H04L 41/0893 (2022.01); H04L 41/084 (2022.01);
U.S. Cl.
CPC ...
H04L 41/0843 (2013.01); H04L 41/0672 (2013.01); H04L 41/0816 (2013.01); H04L 41/0873 (2013.01); H04L 41/0886 (2013.01); H04L 41/0893 (2013.01);
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.


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