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DDDAS Computational Model and Environments

The Data Driven Applications Systems (DDDAS) concept entails “the ability to dynamically incorporate data into an executing application simulation, and in reverse, the ability of applications to dynamically steer measurement processes”, creating “application simulations that can dynamically accept and respond to ‘online’ field data and measurements and/or control such measurements”. Through the DDDAS concept, the application modeling capability, its accuracy and its efficiency, are enhanced over the traditional computational modeling methods, by complementing and augmenting the computational modeling with dynamic data inputs, which can be dynamically incorporated into the computation at runtime. In reverse, the ability of the executing application to steer the measurement processes, and conduct targeted measurements guided by the executing application, can result into more efficient and more effective measurement processes. By integrating the computational and measurement aspects of an application in a dynamic feed-back loop, DDDAS changes the paradigm of the traditionally distinct computational and measurement processes, and leads to a unification of the computing and instrumentation platforms of an application. The discussions in the present paper focus on a DDDAS computational model representing the unification of measurement and computational platforms, and on the new measurement capabilities enabled through DDDAS and in particular in architecting and dynamically managing sensor networks and the systems software needs for supporting the unified measurement and computational platforms in DDDAS environments.