Dynamic Data-driven Application Systems

David Evans, University of Virginia
Dimitri Metaxas, Rutgers University
Manish Parashar, Rutgers University
Moderator: Frederica Darema, National Science Foundation (CISE)


Abstract

This panel will discuss a new paradigm of symbiotic application and measurement systems, namely applications that can accept and respond dynamically to new data injected into the executing application, and reversely, the ability of such application systems to dynamically control the measurement processes. The synergistic feedback control-loop between application simulations and measurements can open new domains in the capabilities of simulations with high potential pay-off, create applications with new and enhanced analysis and prediction capabilities and enable a new methodology for more efficient and effective measurement processes. Such capabilities have the potential to transform the way science and engineering are done, and induce a major impact in the way many functions in our society are conducted, such as manufacturing, commerce, transportation, hazard prediction/management, and medicine. Grid Computing and Sensor Systems feature essentially as relevant technologies in the infrastructure supporting DDDAS systems, together with new advances needed in software technologies. The panel will address the new opportunities, the challenges, and the applications', algorithms' and systems' software technologies needed to enable such capabilities, and will showcase some of the ongoing research in these aspects with examples from several important application areas.