Oracle international corporation (20240126677). MULTI-STAGE ANOMALY DETECTION AND REMEDIATION simplified abstract

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 20240126677 titled 'MULTI-STAGE ANOMALY DETECTION AND REMEDIATION

Simplified Explanation

The abstract describes techniques for managing anomalies in a software system by monitoring signals, identifying a hierarchy of sensors, analyzing causes of anomalies, determining the cause(s) of anomalies, 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 cause(s) of anomalies based on sensor results
• Causing remediation based on child sensors and mapped resolutions

Potential Applications

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

Problems Solved

This technology helps in efficiently managing and resolving anomalies in software systems, leading to improved system performance and reliability.

Benefits

The benefits of this technology include early detection of anomalies, accurate identification of causes, and effective remediation strategies, ultimately enhancing the overall performance of software systems.

Potential Commercial Applications

The technology could be utilized by software companies, IT departments, and organizations with complex software systems to ensure smooth operations and minimize downtime.

Possible Prior Art

One possible prior art for this technology could be existing anomaly detection and management systems used in various industries to monitor and analyze software systems for abnormalities.

How does this technology compare to existing anomaly detection systems in terms of accuracy and efficiency?

The article does not provide a direct comparison between this technology and existing anomaly detection systems.

What are the potential limitations or challenges in implementing this technology in real-world software systems?

The article does not address any potential limitations or challenges in implementing this technology.

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).