Cigna Group‘s patent involves methods and systems for anomaly detection in relational databases. By analyzing data growth rates and resource utilization, the system can detect anomalies and trigger operations like rebooting or reallocating resources. GlobalData’s report on Cigna Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Cigna Group, Social media analytics was a key innovation area identified from patents. Cigna Group's grant share as of January 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.
Anomaly detection system for relational databases
A newly granted patent (Publication Number: US11860854B2) describes a system designed to detect resource utilization anomalies in servers. The system includes a memory component and at least one processor that accesses a data object containing a data set collected over a specific time interval. The processor selects reference and second data points representing resource utilization at different time points, computes an angle to determine the growth rate between these points, and triggers an anomaly detection operation if the angle exceeds a set threshold. This operation can involve rebooting the server or reallocating resources to address the anomaly. The system can capture data at different rates, aggregate data points, and apply gradient calculations to analyze resource utilization trends effectively.
Furthermore, the patent outlines a method and a computer-readable medium with instructions for implementing the system's functions. The method involves selecting data points, computing angles, and triggering anomaly detection operations based on predefined thresholds. It also includes features like counting the number of times the anomaly detection operation is triggered within a time period and selectively discontinuing the process if the threshold is exceeded. The computer-readable medium stores instructions for accessing data, computing angles, and triggering anomaly detection operations, along with additional functionalities like capturing data at specific rates and aggregating data points to identify memory leaks. Overall, the patent presents a comprehensive system, method, and medium for effectively monitoring and managing resource utilization in servers to ensure optimal performance and prevent anomalies.
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