Abstract: A fault detection apparatus includes a storage unit which stores correlation destruction set information which includes one or more correlations between different types of performance values among a plurality of types of performance values of a system, and a comparison unit which detects a set of common correlations between said one or more correlations included in said correlation destruction set information and one or more correlations on each of which a correlation destruction is detected for inputted performance values.

Abstract: A fault detection apparatus includes a storage unit which stores correlation destruction set information which includes one or more correlations between different types of performance values among a plurality of types of performance values of a system, and a comparison unit which detects a set of common correlations between said one or more correlations included in said correlation destruction set information and one or more correlations on each of which a correlation destruction is detected for inputted performance values.

Abstract: A fault detection apparatus includes a storage unit and a correlation model comparison unit. The storage unit stores correlation destruction set information which indicates correlations on which correlation destruction was detected when a fault occurred, among correlations included in a correlation model representing correlations between a plurality types of performance values of a system. The correlation model comparison unit calculates a commonality between the correlation included in the correlation destruction set information and correlation on which correlation destruction is detected for inputted performance values.

Abstract: An operation management apparatus monitors the performance information of a system executing services and extracts correlation variants of the performance information, thus allowing the management to detect and localize performance-degrading faults of the system. It is determined whether or not the range of correlation collapse ascribed to the performance information falls within the normal range of correlation collapse measured in the normal operation of the system. A history is retained with regard to the range of correlation collapse ascribed to the performance information which does not fall within the normal range of correlation collapse. It is determined whether or not the history accumulating the predetermined number of ranges of correlation collapse approximates to the fault range of correlation collapse measured in the faulty operation of the system, thus discriminating a fault model on the basis of the performance information.

Abstract: A fault which is possible to occur for detected correlation destruction is estimated. A fault detection apparatus 10 includes a storage unit 12 and a correlation model comparison unit 25. The storage unit 12 stores correlation destruction set information 33 which indicates correlations on which correlation destruction was detected when a fault occurred, among correlations included in a correlation model representing correlations between a plurality types of performance values of a system. The correlation model comparison unit 25 calculates a commonality between the correlation included in the correlation destruction set information and correlation on which correlation destruction is detected for inputted performance values.

Abstract: An operation management apparatus monitors the performance information of a system executing services and extracts correlation variants of the performance information, thus allowing the management to detect and localize performance-degrading faults of the system. It is determined whether or not the range of correlation collapse ascribed to the performance information falls within the normal range of correlation collapse measured in the normal operation of the system. A history is retained with regard to the range of correlation collapse ascribed to the performance information which does not fall within the normal range of correlation collapse. It is determined whether or not the history accumulating the predetermined number of ranges of correlation collapse approximates to the fault range of correlation collapse measured in the faulty operation of the system, thus discriminating a fault model on the basis of the performance information.