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:
Apr. 02, 2024

Filed:

Nov. 15, 2022
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Sampanna Shahaji Salunke, Dublin, CA (US);

Dario Bahena Tapia, Tlaquepaque, MX;

Dustin Garvey, Exeter, NH (US);

Sumathi Gopalakrishnan, Fremont, CA (US);

Neil Goodman, San Rafael, CA (US);

Assignee:

Oracle International Corporation, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06F 18/2411 (2023.01); G06N 20/10 (2019.01); H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 18/2411 (2023.01); G06N 20/10 (2019.01);
Abstract

Techniques are disclosed for summarizing, diagnosing, and correcting the cause of anomalous behavior in computing systems. In some embodiments, a system identifies a plurality of time series that track different metrics over time for a set of one or more computing resources. The system detects a first set of anomalies in a first time series that tracks a first metric and assigns a different respective range of time to each anomaly. The system determines whether the respective range of time assigned to an anomaly overlaps with timestamps or ranges of time associated with anomalies from one or more other time series. The system generates at least one cluster that groups metrics based on how many anomalies have respective ranges of time and/or timestamps that overlap. The system may preform, based on the cluster, one or more automated actions for diagnosing or correcting a cause of anomalous behavior.


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