Abstract: In the invariant analysis, a fault cause is judged correctly. A correlation model storing unit (112) of an operation management apparatus (100) stores a correlation model including one or more correlation functions each of which indicates a correlation between two metrics different each other among a plurality of metrics in a system. The correlation destruction detecting unit (103) detects correlation destruction of the correlation which is included in the correlation model by applying newly inputted values of the plurality of metrics to the correlation model. The abnormality calculation unit (104) calculates and outputs a centrality degree which indicates a degree to which a first metric is estimated to be center of distribution of correlation destruction on the basis of a correlation destruction degree of one or more correlations between each of one or more second metrics having a correlation with the first metric and each of one or more metrics other than the first metric among the plurality of metrics.

Abstract: In the invariant analysis, a fault cause is judged correctly. A correlation model storing unit (112) of an operation management apparatus (100) stores a correlation model including one or more correlation functions each of which indicates a correlation between two metrics different each other among a plurality of metrics in a system. The correlation destruction detecting unit (103) detects correlation destruction of the correlation which is included in the correlation model by applying newly inputted values of the plurality of metrics to the correlation model. The abnormality calculation unit (104) calculates and outputs a centrality degree which indicates a degree to which a first metric is estimated to be center of distribution of correlation destruction on the basis of a correlation destruction degree of one or more correlations between each of one or more second metrics having a correlation with the first metric and each of one or more metrics other than the first metric among the plurality of metrics.

Abstract: In the invariant analysis, a fault cause is judged correctly. A correlation model storing unit (112) of an operation management apparatus (100) stores a correlation model including one or more correlation functions each of which indicates a correlation between two metrics different each other among a plurality of metrics in a system. The correlation destruction detecting unit (103) detects correlation destruction of the correlation which is included in the correlation model by applying newly inputted values of the plurality of metrics to the correlation model. The abnormality calculation unit (104) calculates and outputs a centrality degree which indicates a degree to which a first metric is estimated to be center of distribution of correlation destruction on the basis of a correlation destruction degree of one or more correlations between each of one or more second metrics having a correlation with the first metric and each of one or more metrics other than the first metric among the plurality of metrics.

Abstract: In the invariant analysis, a fault cause is judged correctly. A correlation model storing unit (112) of an operation management apparatus (100) stores a correlation model including one or more correlation functions each of which indicates a correlation between two metrics different each other among a plurality of metrics in a system. The correlation destruction detecting unit (103) detects correlation destruction of the correlation which is included in the correlation model by applying newly inputted values of the plurality of metrics to the correlation model. The abnormality calculation unit (104) calculates and outputs a centrality degree which indicates a degree to which a first metric is estimated to be center of distribution of correlation destruction on the basis of a correlation destruction degree of one or more correlations between each of one or more second metrics having a correlation with the first metric and each of one or more metrics other than the first metric among the plurality of metrics.

Abstract: A resin composition which can be used to form a prepreg having sufficient flexibility to prevent cracking from occurring therein is provided. Further, a prepreg having sufficient flexibility to prevent cracking from occurring, a prepreg having excellent workability even in the case where the resin composition in the prepreg is in an uncured state, and a laminate provided with such a prepreg are also provided. The resin composition is used to form a sheet-shaped prepreg by impregnating a base material with the resin composition, and the composition comprises a first thermosetting resin, a second thermosetting resin having a lower weight average molecular weight than that of the first thermosetting resin, a curing agent, and a filler. The prepreg is formed by impregnating a base sheet material with the resin composition described above. The laminate is formed by laminating a metallic foil on the prepreg and then molding them by heating under pressure.

Abstract: A resin composition which can be used to form a prepreg having sufficient flexibility to prevent cracking from occurring therein is provided. Further, a prepreg having sufficient flexibility to prevent cracking from occurring, a prepreg having excellent workability even in the case where the resin composition in the prepreg is in an uncured state, and a laminate provided with such a prepreg are also provided. The resin composition is used to form a sheet-shaped prepreg by impregnating a base material with the resin composition, and the composition comprises a first thermosetting resin, a second thermosetting resin having a lower weight average molecular weight than that of the first thermosetting resin, a curing agent, and a filler. The prepreg is formed by impregnating a base sheet material with the resin composition described above. The laminate is formed by laminating a metallic foil on the prepreg and then molding them by heating under pressure.