Abstract: Systems and methods are provided for performing, at a server, a stack trace of an application at a predetermined interval to generate a plurality of stack traces, where each stack trace of the plurality of stack traces is from a different point in time based on the predetermined interval. The stack trace is performed when the application is operating normally and when the application has had a failure. The plurality of stack traces stored are indexed by timestamp. The server may determine a state of the application based on at least one of the plurality of stack traces. The server may condense data for at least one of the plurality of stack traces that are indexed using predetermined failure scenarios for the application. The server may generate a report based on the condensed data and the state of the application, and may transmit the report for display.

Abstract: A method, computer program product, and computer system for matching, at a computing device, one or more parameters of test data to one or more rules. A location of a data store is selected to store results of the test data, wherein the location is selected based upon, at least in part, the one or more rules matched to the one or more parameters of the test data. The results of the test data is separated from results of production data by storing the results of the test data at the location of the data store selected based upon, at least in part, the one or more rules matched to the one or more parameters of the test data.

Abstract: A method, computer program product, and computer system for matching, at a computing device, one or more parameters of test data to one or more rules. A location of a data store is selected to store results of the test data, wherein the location is selected based upon, at least in part, the one or more rules matched to the one or more parameters of the test data. The results of the test data is separated from results of production data by storing the results of the test data at the location of the data store selected based upon, at least in part, the one or more rules matched to the one or more parameters of the test data.

Abstract: A method, computer program product, and computer system for matching, at a computing device, one or more parameters of test data to one or more rules. A location of a data store is selected to store results of the test data, wherein the location is selected based upon, at least in part, the one or more rules matched to the one or more parameters of the test data. The results of the test data is separated from results of production data by storing the results of the test data at the location of the data store selected based upon, at least in part, the one or more rules matched to the one or more parameters of the test data.

Abstract: A method, computer program product, and computer system for matching, at a computing device, one or more parameters of test data to one or more rules. A location of a data store is selected to store results of the test data, wherein the location is selected based upon, at least in part, the one or more rules matched to the one or more parameters of the test data. The results of the test data is separated from results of production data by storing the results of the test data at the location of the data store selected based upon, at least in part, the one or more rules matched to the one or more parameters of the test data.

Abstract: A method, system and device are described for generating high-resolution flow-field data from sparse measurement data by interpolating from a reference database of pre-computed, highly-resolved fluid dynamic simulation results, to generate a highly-resolved set of flow field data which correspond to the sparse measurements. In one embodiment, the method, system and device use Principal Component Analysis techniques to interpolate the multidimensional fluid flow data. Applications of the invention are, amongst others, in the field of biomedical diagnosis involving fluid dynamic modeling of biological fluid systems such as blood flow in an artery.

Abstract: A method, system and device are described for generating high-resolution flow-field data from sparse measurement data by interpolating from a reference database of pre-computed, highly-resolved fluid dynamic simulation results, to generate a highly-resolved set of flow field data which correspond to the sparse measurements. In one embodiment, the method, system and device use Principal Component Analysis techniques to interpolate the multidimensional fluid flow data. Applications of the invention are, amongst others, in the field of biomedical diagnosis involving fluid dynamic modeling of biological fluid systems such as blood flow in an artery.