Abstract: An approach is presented for predicting performance and capacity of an information technology (IT) system. Sets of component-level and middleware-based performance statistics are retrieved. The sets of component-level performance statistics measure individual performances of reusable software modules in test runs of the software modules. The middleware-based performance statistics represent a contribution of customized middleware to the performance of the IT system in a test run of the customized middleware. Based on the sets of component-level and middleware-based performance statistics and before the IT system is built, a prediction of computing resource requirements and characteristics of the performance of the IT system is generated. Generating the prediction results in a recommendation of computing resources required to build the IT system without over-specifying the computing resources.

Abstract: An approach for predicting performance and capacity of an information technology (IT) system before the IT system is built is described, where the predicting uses a database of performance statistics measured for reusable software modules. A performance simulation modeling tool receives a set of performance statistics of a test computer. The set of performance statistics is associated with a set of software modules included in a library of reusable software modules. The set of software modules is required to build a target IT system. The set of performance statistics is received from a database of performance statistics resulting from individual executions on the test computer of each reusable software module in the library. The performance simulation modeling tool predicts computing resources required by the target IT system. The computing resources prediction follows the receipt of the set of performance statistics and precedes the target IT system being built.

Abstract: An approach for predicting performance and capacity of an information technology (IT) system before the IT system is built is described, where the predicting uses a database of performance statistics measured for reusable software modules. A performance simulation modeling tool receives a set of performance statistics of a test computer. The set of performance statistics is associated with a set of software modules included in a library of reusable software modules. The set of software modules is required to build a target IT system. The set of performance statistics is received from a database of performance statistics resulting from individual executions on the test computer of each reusable software module in the library. The performance simulation modeling tool predicts computing resources required by the target IT system. The computing resources prediction follows the receipt of the set of performance statistics and precedes the target IT system being built.

Abstract: A method and system for predicting performance and capacity of an information technology (IT) system before the IT system is built, where the predicting uses a database of performance statistics measured for reusable software modules. A performance simulation modeling tool receives a set of performance statistics of a test computer. The set of performance statistics is associated with a set of software modules included in a library of reusable software modules. The set of software modules is required to build a target IT system. The set of performance statistics is received from a database of performance statistics resulting from individual executions on the test computer of each reusable software module in the library. The performance simulation modeling tool predicts computing resources required by the target IT system. The computing resources prediction follows the receipt of the set of performance statistics and precedes the target IT system being built.

Abstract: A method and system for predicting performance and capacity of an information technology (IT) system before the IT system is built, where the predicting uses a database of performance statistics measured for reusable software modules. A performance simulation modeling tool receives a set of performance statistics of a test computer. The set of performance statistics is associated with a set of software modules included in a library of reusable software modules. The set of software modules is required to build a target IT system. The set of performance statistics is received from a database of performance statistics resulting from individual executions on the test computer of each reusable software module in the library. The performance simulation modeling tool predicts computing resources required by the target IT system. The computing resources prediction follows the receipt of the set of performance statistics and precedes the target IT system being built.

Abstract: A computer method is disclosed for accurately transforming multiple radar observations of aircraft into a common coordinate system for air traffic control applications. The method involves a transformation from radar observables of the target slant range, azimuth and altitude to the target position coordinates in a stereographic system plane for display. The method includes a conformal coordinate conversion process from geodetic to conformal spherical coordinates followed by a conformal stereographic projection process onto a system display plane. The resulting display of aircraft position on the system plane is more accurate than has been available in the prior art.