17967287. MULTI-STAGE ANOMALY DETECTION AND REMEDIATION simplified abstract (Oracle International Corporation)

MULTI-STAGE ANOMALY DETECTION AND REMEDIATION

Organization Name

Oracle International Corporation

Inventor(s)

Joel Dupont of Mountain View CA (US)

Soumen Kundu of Fremont CA (US)

Venugopal Puli of McKinney TX (US)

Rajesh Bajya of Teh - Makrana (IN)

Shashi Kanth Gottipati of Hyderabad (IN)

Pier Paolo Fiorentino of Orlando FL (US)

Santhosh Reddy Chereku of McKinney TX (US)

Mihai Ciocan of Bucharest (RO)

Gabriela Tofan of Tunari (RO)

MULTI-STAGE ANOMALY DETECTION AND REMEDIATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17967287 titled 'MULTI-STAGE ANOMALY DETECTION AND REMEDIATION

Simplified Explanation

The abstract describes techniques for managing anomalies in a software system by monitoring signals, identifying sensors hierarchy, analyzing causes of anomalies, determining the causes, and causing remediation based on sensor results.

• Monitoring signals in a software system for anomalies
• Identifying a hierarchy of sensors with parent and child sensors
• Analyzing the software system for causes of anomalies
• Determining the causes of anomalies based on sensor results
• Causing remediation of the causes based on child sensors and resolutions mapped to them

Potential Applications

The technology described in the patent application could be applied in various industries where software systems are critical, such as healthcare, finance, and telecommunications.

Problems Solved

This technology helps in efficiently managing anomalies in software systems, identifying root causes, and implementing remediation actions promptly.

Benefits

The benefits of this technology include improved system reliability, reduced downtime, enhanced performance, and increased overall system efficiency.

Potential Commercial Applications

The potential commercial applications of this technology could be in software development companies, IT consulting firms, and organizations with complex software systems.

Possible Prior Art

One possible prior art for managing anomalies in software systems is the use of traditional monitoring tools and manual analysis techniques to identify and resolve issues.

What are the specific signals monitored in the software system for anomalies?

The specific signals monitored in the software system for anomalies could include performance metrics, error logs, system alerts, and user feedback.

How are the resolutions mapped to the child sensors for causing remediation of anomalies?

The resolutions are mapped to the child sensors based on predefined rules or algorithms that correlate specific sensor results with appropriate remediation actions.

Original Abstract Submitted

Techniques for managing anomalies in a software system include monitoring the software system for anomalies via a plurality of signals and determining that signal results associated with the signals indicate a presence of an anomaly in the software system. The techniques also include identifying a hierarchy of sensors associated with the anomaly, where the hierarchy includes a parent sensor and a set of child sensors that are direct or indirect descendants of the parent sensor. The techniques additionally include executing the parent and child sensors to analyze the software system for one or more causes of the anomaly, and determining the cause(s) of the anomaly based on sensor results generated by the parent and child sensors. Finally, the techniques include causing remediation of the cause(s) of the anomaly based on one or more child sensors associated with the cause(s) and one or more resolutions mapped to the child sensor(s).