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Dynamic Data Driven Applications Systems – DDDAS 2008

  • Craig C. Douglas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5103)

Abstract

This workshop is centered about the recently emerged paradigm of Dynamic Data Driven Applications Systems (DDDAS). The DDDAS concept has already been established as a revolutionary new approach of a symbiotic relation between application and measurement systems, where applications 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. This new paradigm has the potential to transform the way science and engineering are done, with major impact in the way many functions in our society are conducted, such as manufacturing, commerce, transportation, hazard prediction/management, and medicine. The workshop will present such new opportunities, as well as the challenges and approaches in the applications’, algorithms’ and systems’ software technologies needed to enable such capabilities, and will showcase ongoing research in these aspects with examples from several important application areas.

Keywords

Well Bore Data Consumer Symbiotic Relation Important Application Area Research Thrust 
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.

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Craig C. Douglas
    • 1
    • 2
  1. 1.University of KentuckyLexington
  2. 2.Yale UniversityNew HavenUSA

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