Dynamic data driven application system

A dynamic data driven application system (DDDAS) is one where data is fed into an executing application either as the data is collected or from a data archive ^[1]. The data will then be used to influence the measurements for additional data it may require. Current research for these systems focuses on simulations of physical/artificial/social entities. The simulation can then make predictions about the entity regarding how it will change and what its future state will be. The simulation is then continuously adjusted with data gathered from the entity. The predictions made by the simulation can then influence how and where future data will be gathered from the entity, in order to focus on areas of uncertainty. Intelligent agents will be required to make these decisions with regard to which data to absorb, when it should be absorbed, and how it should be absorbed. Many of these simulations are inspired by older models used to make predictions about physical systems (i.e. weather forecasting, oil exploration, etc…) ^[1]. The DDDAS concept - and the term - was proposed by Frederica Darema around the time of a National Science Foundation (NSF) workshop in March 2000 ^[1].

References

1. ^ ^{a b c} Darema, Frederica (2004). "Dynamic Data Driven Applications Systems: A New Paradigm for Application Simulations and Measurements.". International Conference on Computational Science.: pp. 662–669. 

External links

• DDDAS.org Has a list of active projects and slides from the NSF.
• FireGrid FireGrid is developing the Next Generation Emergency System. Link has related papers from The University of Edinburgh.

See also

• Data assimilation
• Control systems