Abstract: A server migration tool used to construct data center migration scenarios allowing for a user to rapidly manipulate a large number of input parameters required to describe a transformation from one data center configuration to a new data center configuration. The tool then performs the transformation and allows the user to interact with new data center configuration to understand its performance. A novel parameterization, speed independent service demand (SISD), greatly facilitates scaling performance metrics between different hardware platforms.

Abstract: A server migration tool used to construct data center migration scenarios allowing for a user to rapidly manipulate a large number of input parameters required to describe a transformation from one data center configuration to a new data center configuration. The tool then performs the transformation and allows the user to interact with new data center configuration to understand its performance. A novel parameterization, speed independent service demand (SISD), greatly facilitates scaling performance metrics between different hardware platforms.

Abstract: A server migration tool used to construct data center migration scenarios allowing for a user to rapidly manipulate a large number of input parameters required to describe a transformation from one data center configuration to a new data center configuration. The tool then performs the transformation and allows the user to interact with new data center configuration to understand its performance. A novel parameterization, speed independent service demand (SISD), greatly facilitates scaling performance metrics between different hardware platforms.

Abstract: A server migration tool used to construct data center migration scenarios allowing for a user to rapidly manipulate a large number of input parameters required to describe a transformation from one data center configuration to a new data center configuration. The tool then performs the transformation and allows the user to interact with new data center configuration to understand its performance. A novel parameterization, speed independent service demand (SISD), greatly facilitates scaling performance metrics between different hardware platforms.

Abstract: An apparatus and methodology to acquire and organize measured or modeled statistical data into optimal reports with a performance engineering mode of use and a design mode of use. In a performance engineering mode of use, the engineer may select from a set of performance questions, and guided by the apparatus and largely automated, create well-defined answers to the performance questions of interest. A series of template manipulations whereby report objects that are embedded within templates may be defined, reused, modified and improved upon to optimize reports and to aid in a report building process in a design mode of use. Methods are taught for the automatic selection and population of data tables. Column selection and column header information is optimized for relevance to the report design or system question at hand.

Abstract: A server migration tool used to construct data center migration scenarios allowing for a user to rapidly manipulate a large number of input parameters required to describe a transformation from one data center configuration to a new data center configuration. The tool then performs the transformation and allows the user to interact with new data center configuration to understand its performance. A novel parameterization, speed independent service demand (SISD), greatly facilitates scaling performance metrics between different hardware platforms.

Abstract: A graphical, interactive debugger for a computer-based discrete-event simulation model of systems having parallel processes includes a run-time graphic user interface module in which predefined events of the executing simulation model are animated, and a run-time interface simulator module for controlling execution of the simulation model based on commands from the graphical user interface. The model and the animation are based on hierarchical directed process execution graphs in which a transaction represents one of several processes executing in parallel within the system modeled with the graphs. One transaction at a time is shown moving between nodes in one of the graphs. The animation follows the transaction as it moves between sub-models represented by each graph, switching to other graphs as needed. Once the transaction is blocked, the next transaction is displayed in context of the appropriate graph and followed until it is blocked. The screen on which animation is presented is divided into two areas.