Abstract
The Dynamic Data Driven Application Systems (DDDAS) concept entails the ability to incorporate dynamically data into an executing application simulation, and in reverse, the ability of applications to dynamically steer measurement processes. Such dynamic data inputs can be acquired in real-time on-line or they can be archival data. DDDAS offers the promise of improving modeling methods, augmenting the analysis and prediction capabilities of application simulations, improving the efficiency of simulations and the effectiveness of measurement systems.
The scope of the present workshop provides examples of research and technology advances in enabling the DDDAS capabilities.
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Keywords
- Water Distribution System
- Application Simulation
- Data Assimilation Technique
- Emergency Response System
- Information Technology Research
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Darema, F. (2006). Introduction to the ICCS2006 Workshop on Dynamic Data Driven Applications Systems. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2006. ICCS 2006. Lecture Notes in Computer Science, vol 3993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11758532_51
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DOI: https://doi.org/10.1007/11758532_51
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