Dynamic Data Driven Applications Systems

Dynamic Data Driven Applications Systems ("DDDAS") is a paradigm whereby the computation and instrumentation aspects of an application system are dynamically integrated with a feedback control loop, in the sense that instrumentation data can be dynamically incorporated into the executing model of the application, and in reverse the executing model can control the system's instrumentation to cognizantly and adaptively acquire additional data, which in-turn can improve or speedup the model. DDDAS-based approaches have been shown that they can enable more accurate and faster modeling and analysis of the characteristics and behaviors of a system and can exploit data in intelligent ways to convert them to new capabilities, including decision support systems with the accuracy of full-scale modeling, executing model-driven adaptive management of complex instrumentation, as well as efficient data collection, management, and data mining.

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