US Patent Issued to International Business Machines on June 3 for "Generating massive high quality synthetic observability data" (Chinese Inventors)

ALEXANDRIA, Va., June 4 -- United States Patent no. 12,321,252, issued on June 3, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Generating massive high quality synthetic observability data" was invented by Ying Mo (Beijing), Wu Di (Beijing), Xing Tian (Beijing), Qing Zhi Yu (Beijing), Nan Chen (Beijing) and Ju Ling Liu (Beijing).

According to the abstract* released by the U.S. Patent & Trademark Office: "In several aspects for generation of high quality synthetic observability data for computing systems, traces and logs from a system are collected as a seed dataset. Multiple conditional variational autoencoder (VAE) models are trained using the seed dataset for learning association between the traces and the logs....