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. 11, 2024

Filed:

Jul. 18, 2022
Applicant:

Vmware Llc, Palo Alto, CA (US);

Inventors:

Ashot Nshan Harutyunyan, Yerevan, AM;

Arnak Poghosyan, Yerevan, AM;

Naira Movses Grigoryan, Yerevan, AM;

Artur Grigoryan, Yerevan, AM;

Tigran Bunarjyan, Yerevan, AM;

Karen Aghajanyan, Yerevan, AM;

Vahan Tadevosyan, Yerevan, AM;

Tigran Avagimyants, Yerevan, AM;

Assignee:

VMware LLC, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/00 (2006.01); G06F 7/08 (2006.01); G06F 9/451 (2018.01); G06F 16/28 (2019.01); H04L 41/0604 (2022.01); H04L 41/0631 (2022.01); H04L 41/22 (2022.01);
U.S. Cl.
CPC ...
H04L 41/0609 (2013.01); G06F 7/08 (2013.01); G06F 9/451 (2018.02); G06F 16/285 (2019.01); H04L 41/065 (2013.01); H04L 41/22 (2013.01);
Abstract

Automated computer-implemented methods and systems for discovering clusters of alerts triggered by abnormal events occurring with objects in a data center are described. In one aspect, alerts with start times in a sliding run-time window are retrieved from an alerts database. Each alert corresponds to a run-time event occurring with an object of the data center. Clusters of alerts in the sliding run-time window are detected based on the start times of the alerts and topological proximity of the objects. High priority alerts in the clusters of alerts are determined based on alert types. The events associated with discovered clusters of alerts and high priority alerts are displayed in a graphical user interface ('GUI'). Time evolution clustering of alerts and coverage evolution of alerts are over time based on the start times of the alerts and topological proximity of objects exhibiting abnormal behavior in the data center.


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