Abstract: Methods, systems, and computer program products for processing a search query store the search query in one or more persistent storage devices in response to the search query being received. Periodically and automatically thereafter, the search query is retrieved from the one or more persistent storage devices, and source data that relates to the search query is retrieved, using an iterative optimization algorithm, from one or more backend data sources. Responses for the search query are generated based on the source data, and a determination is made of whether each of the responses is notification eligible. A user is notified of each response determined notification eligible.

Abstract: Systems, methods, and computer program products for managing non-standard data. A data management system stores profile records for non-standard providers in a DTN database, and elements defining an itinerary in an EDR database. The data management system queries the DTN database for profiles matching search criteria, and generates a service request for one of the matching profiles. The service request is stored in an extended data structure of an extended data record in the EDR database. The extended data record includes a standard data structure for storing standard elements and the extended data structure for storing non-standard elements. The service request is also transmitted to non-standard provider systems. Service offers from the non-standard provider systems are stored in the extended data structure. The system thereby manages an itinerary that includes non-standard services defined by the non-standard elements and standard services defined by the standard elements using the extended data record.

Abstract: Methods, systems, and computer program products for processing a search query store the search query in one or more persistent storage devices in response to the search query being received. Periodically and automatically thereafter, the search query is retrieved from the one or more persistent storage devices, and source data that relates to the search query is retrieved, using an iterative optimization algorithm, from one or more backend data sources. Responses for the search query are generated based on the source data, and a determination is made of whether each of the responses is notification eligible. A user is notified of each response determined notification eligible.

Abstract: Methods, systems, and computer program products for processing a search query store the search query in one or more persistent storage devices in response to the search query being received. Periodically and automatically thereafter, the search query is retrieved from the one or more persistent storage devices, and source data that relates to the search query is retrieved, using an iterative optimization algorithm, from one or more backend data sources. Responses for the search query are generated based on the source data, and a determination is made of whether each of the responses is notification eligible. A user is notified of each response determined notification eligible.

Abstract: Systems, methods, and computer program products for managing non-standard data. A data management system stores profile records for non-standard providers in a DTN database, and elements defining an itinerary in an EDR database. The data management system queries the DTN database for profiles matching search criteria, and generates a service request for one of the matching profiles. The service request is stored in an extended data structure of an extended data record in the EDR database. The extended data record includes a standard data structure for storing standard elements and the extended data structure for storing non-standard elements. The service request is also transmitted to non-standard provider systems. Service offers from the non-standard provider systems are stored in the extended data structure. The system thereby manages an itinerary that includes non-standard services defined by the non-standard elements and standard services defined by the standard elements using the extended data record.

Abstract: Methods, systems, and computer program products for processing a search query store the search query in one or more persistent storage devices in response to the search query being received. Periodically and automatically thereafter, the search query is retrieved from the one or more persistent storage devices, and source data that relates to the search query is retrieved, using an iterative optimization algorithm, from one or more backend data sources. Responses for the search query are generated based on the source data, and a determination is made of whether each of the responses is notification eligible. A user is notified of each response determined notification eligible.

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.