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:
May. 16, 2023

Filed:

Jun. 15, 2021
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Deepak Rangarao, Pleasanton, CA (US);

Daniel Kikuchi, Raleigh, NC (US);

Kevin McAndrews Collins, Raleigh, NC (US);

Duane Almeter, Suttons Bay, MI (US);

Rajesh Kartha, Fremont, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 8/70 (2018.01); G06N 20/00 (2019.01); G06F 9/48 (2006.01); G06N 5/04 (2023.01);
U.S. Cl.
CPC ...
G06F 8/70 (2013.01); G06F 9/4881 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01);
Abstract

An approach is provided for autonomous and optimal cloning, reinstating, and archiving of a containerized application. Application metadata is obtained from a catalog. Cloning rules specifying cloning an application are obtained. Application components are selected for cloning and the cloning is determined to be compliant with the cloning rules. The application components are cloned and data for the clone is saved to a clone repository. The catalog is updated with specifications of the cloned application components. Reinstating rules specifying reinstating a clone of the application are obtained. Reinstating the clone is determined to be compliant with the reinstating rules. The catalog is updated with specifications of the reinstated clone. In one embodiment, the catalog is updated with inferred associations among applications and identified rules associated with the application, where the inferred associations and identified rules are generated by a trained machine learning-based classifier.


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