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:
Jun. 29, 2021

Filed:

Sep. 26, 2018
Applicant:

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

Inventors:

Ruchi Mahindru, Elmsford, NY (US);

John A. Bivens, Ossining, NY (US);

Min Li, San Jose, CA (US);

Valentina Salapura, Chappaqua, NY (US);

Eugen Schenfeld, South Brunswick, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/24 (2006.01); G06F 11/30 (2006.01); G06F 11/20 (2006.01); G06K 9/62 (2006.01); H04L 29/06 (2006.01); G06N 20/00 (2019.01); G06F 16/17 (2019.01);
U.S. Cl.
CPC ...
H04L 41/5019 (2013.01); G06F 11/2033 (2013.01); G06F 11/3006 (2013.01); G06F 16/1734 (2019.01); G06K 9/6256 (2013.01); G06N 20/00 (2019.01); H04L 63/1408 (2013.01);
Abstract

Embodiments for component lifecycle optimization in a disaggregated computing environment. A monitoring and machine learning process is performed to learn a respective lifecycle of different resource types as the different resource types are assigned to respective workloads. The monitoring and machine learning process is used to develop a set of learned failure patterns for determining a mitigation action to perform as new faults are encountered within each of the different resource types while executing the respective workloads. The mitigation action is performed to optimize a remaining lifecycle of respective ones of the different resource types according to the set of learned failure patterns.


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