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. 14, 2022

Filed:

Jul. 17, 2018
Applicant:

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

Inventors:

Jian Lin, Apharetta, GA (US);

Matthew Elsner, Dunwoody, GA (US);

Ronald Williams, Austin, TX (US);

Michael Josiah Bolding, Smyrna, GA (US);

Yun Pan, Roswell, GA (US);

Paul Sherwood Taylor, Redwood City, CA (US);

Cheng-Ta Lee, Taipei, TW;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 41/28 (2022.01); H04L 9/40 (2022.01); G06F 17/15 (2006.01); H04L 41/16 (2022.01); G06N 20/00 (2019.01); H04L 43/04 (2022.01);
U.S. Cl.
CPC ...
H04L 41/28 (2013.01); G06F 17/15 (2013.01); G06N 20/00 (2019.01); H04L 41/16 (2013.01); H04L 63/104 (2013.01); H04L 63/1425 (2013.01); H04L 63/20 (2013.01); H04L 43/04 (2013.01); H04L 63/1433 (2013.01);
Abstract

A tiered machine learning-based infrastructure comprises a first machine learning (ML) tier configured to execute within an enterprise network environment and that learns statistics for a set of use cases locally, and to alert deviations from the learned distributions. Use cases typically are independent from one another. A second machine learning tier executes external to the enterprise network environment and provides further learning support, e.g., by determining a correlation among multiple independent use cases that are running locally in the first tier. Preferably, the second tier executes in a cloud compute environment for scalability and performance.


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