A method for monitoring a data processing system is proposed. The method involves the measuring of state parameters of the system. Indicators of the performance of the system are then inferred from the state parameters by applying fuzzy-logic rules. The proposed solution is based on the idea of estimating the expected value of each performance indicator in the future from a set of corresponding samples. In this way, it is possible to predict the evolution of the system and then detect any problem in advance.