Abstract: A method, apparatus or software are disclosed for verifying a parameter value against a predetermined threshold function in which a sequence of reference values is retrieved, each reference value being associated with a respective sampling point N, said reference values representing a threshold function at said respective sampling points N; a profile type is associated with said threshold function, said profile type being arranged, when combined with said sequence of reference values, to provide an approximation to said threshold function for a region of said threshold function between said reference values; a parameter value is received for verification against said threshold function, said parameter value being associated with a discrete time P; said sequence of reference values is combined with said profile type to provide an approximation of said threshold function; and said parameter value is verified against said approximation of said threshold function.

Abstract: A method, apparatus or software are disclosed for verifying a parameter value against a predetermined threshold function in which a sequence of reference values is retrieved, each reference value being associated with a respective sampling point N, said reference values representing a threshold function at said respective sampling points N; a profile type is associated with said threshold function, said profile type being arranged, when combined with said sequence of reference values, to provide an approximation to said threshold function for a region of said threshold function between said reference values; a parameter value is received for verification against said threshold function, said parameter value being associated with a discrete time P; said sequence of reference values is combined with said profile type to provide an approximation of said threshold function; and said parameter value is verified against said approximation of said threshold function.

Abstract: A system and method for monitoring service performance are disclosed. In a preferred embodiment, the method comprises: (a) collecting service information from one or more sources in a telecommunications network; (b) converting the service information into values of primary parameters of a service model; and (c) calculating values of secondary parameters of the service model from the primary parameter values, wherein the calculating is performed using relational database tables based on calculation clusters. The calculation clusters are preferably determined from a hierarchical model of the service by dividing the hierarchy in a manner that separates shared service components from the service components that share them, and that separates service components related by 1-to-n and n-to-1 relationships.

Abstract: A system and method for monitoring service performance are disclosed. In a preferred embodiment, the method comprises: (a) collecting service information from one or more sources in a telecommunications network; (b) converting the service information into values of primary parameters of a service model; and (c) calculating values of secondary parameters of the service model from the primary parameter values, wherein the calculating is performed using relational database tables based on calculation clusters. The calculation clusters are preferably determined from a hierarchical model of the service by dividing the hierarchy in a manner that separates shared service components from the service components that share them, and that separates service components related by 1-to-n and n-to-1 relationships.