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:
Jul. 01, 2025

Filed:

Nov. 13, 2019
Applicant:

Vmware Llc, Palo Alto, CA (US);

Inventors:

Keshav Mathur, Palo Alto, CA (US);

Jinyi Lu, Palo Alto, CA (US);

Xing Wang, Palo Alto, CA (US);

Darren Brown, Seattle, WA (US);

Peng Gao, Palo Alto, CA (US);

Junyuan Lin, Bellevue, WA (US);

Paul Pedersen, Palo Alto, CA (US);

Assignee:

VMWare LLC, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 67/10 (2022.01); H04L 9/40 (2022.01); H04L 41/14 (2022.01); H04L 41/147 (2022.01); H04L 41/40 (2022.01); H04L 43/08 (2022.01);
U.S. Cl.
CPC ...
H04L 67/10 (2013.01); H04L 41/145 (2013.01); H04L 41/147 (2013.01); H04L 41/40 (2022.05); H04L 43/08 (2013.01); H04L 63/1425 (2013.01);
Abstract

Computational methods and systems to detect anomalous behaving resources and objects of a distributed computing system are described. Multiple streams of metric data representing usage of various resources of the distributed computing system are sent to a management system of the distributed computing system. The management system updates a performance model based on newly received metric values of the streams of metric data. The updated performance model is used to detect changes in one or more of the streams of metric data. The changes may be an indication of anomalous behavior at resources and objects associated with the streams of metric data. An anomaly listener is notified of anomalous behavior by the resource or object when a change in one or more of the streams of metric data is detected.


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