Patent ID: 11921612
Assignee: ORACLE INTERNATIONAL CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A computer system to identify computer performance anomalies for user computer services based on computer Key Performance Indicators (KPIs), the computer system comprising:
physical databases configured to host logical databases, generate physical database KPIs, and convert the physical database KPIs into logical database KPI vectors for individual user computer services;
physical application servers configured to host logical application servers, generate physical application server KPIs, and convert the physical application server KPIs into logical application server KPI vectors for the individual user computer services;
physical web servers configured to host logical web servers, generate physical web server KPIs, and convert the physical web server KPIs into logical web server KPI vectors for the individual user computer services; and
a physical KPI server configured to combine the logical database KPI vectors, the logical application server KPI vectors, and the logical web server KPI vectors into user service KPI vectors for the individual user computer services, detect outlier ones of the user service KPI vectors, store vector patterns of the outlier ones of the user service KPI vectors, and detect individual ones of the computer performance anomalies for ones of the individual user computer services based on matching the user service KPI vectors corresponding to the individual ones of the computer performance anomalies to the vector patterns of the outlier ones of the user service KPI vectors;
wherein to detect the outlier ones of the user service KPI vectors, the physical KPI server is configured to evaluate the user service KPI vectors by a machine learning model trained to detect outlier user service KPI vectors from a library of normal and non-anomalous KPI vectors for the individual user computer services, and wherein the outlier ones of the user service KPI vectors are correlated to the individual ones of the computer performance anomalies.