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. 28, 2024

Filed:

Sep. 23, 2021
Applicant:

Dell Products L.p., Hopkinton, MA (US);

Inventors:

Lisa O'Mahony, Cork, IE;

David P. Moloney, Cork, IE;

Francisco Jaen, Cork, IE;

Eileen Kelleher, Wilton, IE;

Assignee:

Dell Products L.P., Hopkinton, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/07 (2006.01); G06F 11/30 (2006.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/243 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 11/0793 (2013.01); G06F 11/0772 (2013.01); G06F 11/079 (2013.01); G06F 11/3034 (2013.01); G06F 18/214 (2023.01); G06F 18/2178 (2023.01); G06F 18/24323 (2023.01); G06N 20/00 (2019.01);
Abstract

A cause analysis and remediation engine (CARE) can perform an analysis of inputs characterizing aspects of the system at the time an alert is generated in order to determine causes and remediation actions for the alert. The CARE can automatically detect and analyze inputs including configuration information, compliance information, and workload and performance information to determine one or more expected causes of the alert and one or more corresponding remediations that can be taken. The CARE can include a rules engine and a remediation service. The rules engine can include one or more trained models, such as trained machine learning models, each using rules to recognize inputs denoting a particular expected cause of the alert. The models can be decision trees trained using supervised learning. The remediation service can map one or more expected causes determined by the rules engine to the one or more corresponding remediations.


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