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. 28, 2025

Filed:

Jan. 03, 2023
Applicant:

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

Inventors:

Abhishek Malvankar, White Plains, NY (US);

Alaa S. Youssef, Valhalla, NY (US);

Chen Wang, Chappaqua, NY (US);

Diana Jeanne Arroyo, Austin, TX (US);

Marquita May Ellis, White Plains, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/50 (2006.01); G06N 3/092 (2023.01);
U.S. Cl.
CPC ...
G06F 9/505 (2013.01); G06F 9/5038 (2013.01); G06N 3/092 (2023.01);
Abstract

A method and system allocating computing resources according to a trained machine learning model that includes receiving a request to accommodate a particular workload that involves a first threshold amount of computing resources implemented by at least one computing cluster. An identified a set of computing clusters, that have computing resources available for allocating from the identified set of computing clusters to the at least one computing cluster to satisfy the first threshold amount of computing resources, is received from a database. A trained deep-reinforcement learning model is applied to generate a policy for allocating the available computing resources from the identified set of computing clusters to the at least one computing cluster. It is verified that the generated policy satisfies a threshold according to one or more predetermined criteria. The computing resources are allocated from the set of computing clusters to the at least one computing cluster.


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