首页|Researchers Submit Patent Application, "Log Anomaly Detection In Continuous Arti ficial Intelligence For It Operations", for Approval (USPTO 20240089275)
Researchers Submit Patent Application, "Log Anomaly Detection In Continuous Arti ficial Intelligence For It Operations", for Approval (USPTO 20240089275)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventors Akkiraju, Rama Kalyani T. (Cupertino, CA, US); An, Lu (Raleigh, NC, US); Boyette, Neil H. (Oregon City, OR , US); LIU, Xiaotong (San Jose, CA, US); Tu, An-Jie Andy (Campbell, CA, US); XU, ANBANG (San Jose, CA, US), filed on September 9, 2022, was made available onlin e on March 14, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "The present invention relates generally to log anomaly det ection in continuous artificial intelligence for IT operations (AIOps), and more particularly to real-time statistical model based log anomaly detection. "Anomaly detection from logs is a fundamental Information Technology Operations (ITOps) management task. It aims to detect anomalous system behavior's and find signals that can provide clues to the reasons and the anatomy of a system's fail ure. As system logs are records of system states and events at various critical points and log data is universally available in nearly all IT systems, it is a v aluable resource for the AIOps to process, analyze, and perform anomaly detectio n algorithms. The traditional log anomaly detection (LAD) methods are mostly man ual operations and rule-based methods, and such traditional methods are no longe r suitable for the large-scale IT systems with sophisticated system incidents."
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