Characterizing Dynamic Data Driven Applications Systems (DDDAS) in Terms of a Computational Model

  • Frederica Darema
Conference paper

DOI: 10.1007/978-3-642-01973-9_50

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5545)
Cite this paper as:
Darema F. (2009) Characterizing Dynamic Data Driven Applications Systems (DDDAS) in Terms of a Computational Model. In: Allen G., Nabrzyski J., Seidel E., van Albada G.D., Dongarra J., Sloot P.M.A. (eds) Computational Science – ICCS 2009. ICCS 2009. Lecture Notes in Computer Science, vol 5545. Springer, Berlin, Heidelberg

Abstract

The DDDAS (Dynamic Data Driven Applications Systems) concept creates new capabilities in applications and measurements, through a new computational paradigm where application simulations can dynamically incorporate and respond to online field-data and measurements, and/or control such measurements. Such capabilities entail dynamic integration of the computational and measurement aspects of an application in a dynamic feed-back-loop, leading to unified SuperGrids of the computational and the instrumentation platforms. Examples of advances in applications capabilities enabled through DDDAS over traditional computational modeling methods, and advances in measurements methods, and instrumentation and sensor network systems, have appeared extensively in the literature. This paper concentrates in discussing a computational model representing the unified DDDAS computation-measurement environments, and asymptotic cases leading to traditional computational environments, data assimilation, and traditional control systems.

Keywords

computational model applications measurements dynamic runtime sensors grids 

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Frederica Darema
    • 1
  1. 1.National Science FoundationArlingtonUSA

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