Method and apparatus for dealing with accumulative behavior of some system observations in a time series for bayesian inference with a static bayesian network model

Abstract

A method and apparatus are provided for determining the probability that one or more problems have occurred within a complex multi-host system. A probabilistic model representing the cause/effect relationships among potential system problems identifies the probability that a problem occurred in the system based at least on system measure states that are input into the probabilistic model. System measure states may be determined based on an aggregation of system measurement values taken periodically. Aggregating system measurement values may be performed over system measurement values that were taken during a recent time interval. A rolling count aggregation function may be used for this purpose. A rolling count function counts the number of system measurement values taken within the recent time interval that lie within a particular range of values. A system measure state may be determined based on whether the rolling count exceeds a threshold associated with the system measure.