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:
Oct. 11, 2022

Filed:

Mar. 04, 2019
Applicant:

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

Inventors:

Amitesh Shukla, San Ramon, CA (US);

Manish Jhanji, Santa Clara, CA (US);

Satpal Dalal, Cupertino, CA (US);

Rakesh Mishra, Milpitas, CA (US);

Assignee:

CISCO TECHNOLOGY, INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/14 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 11/1469 (2013.01); G06F 11/1464 (2013.01); G06N 20/00 (2019.01); G06F 2201/84 (2013.01);
Abstract

Systems, methods, and storage media for generating and/or recoverying an end-to-end hybrid cloud snapshot are disclosed. Exemplary implementations may: receive application specific triggering criteria for generating an end-to-end hybrid cloud snapshot; trigger a snapshot event based on the application specific triggering criteria and a machine learning model; accumulate snapshot portions from a plurality of nodes in a hybrid cloud network; and store, in a snapshot database, the end-to-end hybrid cloud snapshot comprising the snapshot portions from the plurality of nodes. Exemplary implementations may further include: generate a recovery model based on a snapshot database, wherein the snapshot database comprises a plurality of network snapshots associated with a network, receive parameters for a desired recovery state, and identify a recommended network snapshot from the plurality of network snapshots based on the recovery model and the parameters for the desired recovery state.


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