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The DDDAS paradigm, unifying applications, mathematical modeling, and sensors, is now more relevant than ever with the advent of Large-Scale/Big-Data and Big-Computing. Large-Scale-Dynamic-Data (advertised as the next wave of Big Data) includes the integrated range of data from high-end systems and instruments together with the dynamic data arising from ubiquitous sensing and control in engineered, natural, and societal systems. In this paper we present Fresh Breeze, a dataflow-based execution and programming model and computer architecture and how it provides a sound basis to develop future computing systems that match the DDDAS challenges. Development of simulation models and a compiler for Fresh Breeze computer systems is discussed and initial results are reported

FreshBreeze: A Data Flow Approach for Meeting DDDAS Challenges