Abstract
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."
NETL
NSTL