Dddas Advantages from High-dimensional simulation

Erik Blasch

Abstract: Dynamic Data Driven Applications Systems (DDDAS) is a systems design framework that focuses on integrating high-dimensional physical model simulations, run-time measurements, statistical methods, and computation architectures. One of the foremost DDDAS successes was scientific theory assessment of natural disasters such as wild fire monitoring and volcanic plume detection. Monitoring the atmosphere with DDDAS principles has evolved into domain methods for space awareness, unmanned aerial vehicle (UAV) design, and biomedical applications. Recent efforts reflect the digital age of information management architecture design such as multimedia analysis, power grid control, and biohealth concerns. Underlying a majority of DDDAS developments are advances in sensor design, information filtering, and computational systems. The paper provides a motivation, explanation, and literature review of DDDAS.