US Patent Issued to Dell Products on Feb. 24 for "Machine learning system and method of detecting impactful performance anomalies" (Israeli Inventors)

ALEXANDRIA, Va., Feb. 24 -- United States Patent no. 12,561,397, issued on Feb. 24, was assigned to Dell Products LP (Round Rock, Texas).

"Machine learning system and method of detecting impactful performance anomalies" was invented by Shaul Dar (Petach Tikva, Israel) and Avitan Gefen (Tel Aviv, Israel).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for detecting impactful performance anomalies in storage systems. The techniques include obtaining, for each performance metric of a storage system's workload, a training set of series diffs based on a threshold. Each diff represents a difference between an observed value from an observed set of time series values for the performance metric and a normal...