Characterizing a computerized system based on clusters of key performance indicators

Abstract

The invention is directed to characterizing a computerized system based on key performance indicators (KPIs). Channel the KPIs through n buffer channels, where n≥2. The KPIs are channeled by: accessing KPIs; clustering the KPIs accessed to obtain k clusters; and, for each cluster of the k clusters obtained, identifying n representative KPIs in each cluster as objects of n respective types and buffering KPI values of the n representative KPIs identified in respective ones of the n buffer channels. The KPI values buffered in the n buffer channels are then fed into respective input channels of a trained neural network. The neural network independently processes the KPIs in the input channels and produces output values in output of the inner layers. Eventually, the computerized system is characterized based on the output values produced, e.g., to detect an anomaly in the system.