Workshop on Dynamic Data-Driven Application Systems
ICCS 2012, Omaha, NE, USA
June 4-6, 2012
Abstract
This workshop covers several aspects of the Dynamic Data Driven
Applications Systems (DDDAS) concept, which is an established approach
defining a symbiotic relation between an application and sensor based
measurement systems. Applications can accept and respond dynamically to new
data injected into the executing application. In addition, applications can
dynamically control the measurement processes. The synergistic feedback
control-loop between an application simulation and its measurements opens new
capabilities in simulations, e.g., the creation of applications with new and
enhanced analysis and prediction capabilities, greater accuracy, longer
simulations between restarts, and enable a new methodology for more efficient
and effective measurements. DDDAS transforms the way science and engineering
are done with a major impact in the way many functions in our society are
conducted, e.g., manufacturing, commerce, transportation, hazard prediction
and management, and medicine. The workshop will present such new
opportunities as well as the challenges and approaches in technology needed to
enable DDDAS capabilities in applications, relevant algorithms, and software
systems. The workshop will showcase ongoing research in these aspects with
examples from several important application areas. All related areas in
Data-Driven Sciences are included in this workshop.
This workhop was part of the
International Conference on Computational Sciences 2012.
Organizers
Craig C. Douglas, University of Wyoming
Abani Patra, University of Buffalo
Papers and citations
The citation is
Procedia Computer Science, 9 (2012).
The volume is online at
Procedia Computer Science, vol. 9, pp. 1-2024.
Page numbers for individual papers are with each entry below.
The speaker's name is underlined.
Monday, June 4
Session I
- Han Yu, Craig C. Douglas, and Fred Ogden,
A New Application of the Dynamical Data Driven System in the Talbot-Ogden
Model for Groundwater Infiltration,
pp. 1073-1080.
Talk
- Craig C. Douglas, Yalchin Efendiev, Peter Popov, and
Victor M. Calo,
An Introduction to a Porous Shape Memory Alloy Dynamic Data Driven Application
System,
pp. 1081-1089.
Talk
- A. Patra, M. Bursik, J. Dehn, M. Jones, M. Pavolonis, E.B. Pitman,
T. Singh, P. Singla, and P. Webley,
A DDDAS Framework for Volcanic Ash Propagation and Hazard Analysis,
pp. 1090-1099.
Talk
- Jan Mandel, Jonathan D. Beezley, Adam K. Kochanski,
Volodymyr Y. Kondratenko, and Minjeong Kim,
Assimilation of Perimeter Data and Coupling with Fuel Moisture in a Wildland
Fire -- Atmosphere DDDAS,
pp. 1100-1109.
Talk
- Carlos Brun, Tomàs Artés, Tomàs Margalef, and
Ana Cortés,
Coupling Wind Dynamics into a DDDAS Forest Fire Propagation Prediction System,
pp. 1110-1118.
Talk
Session II
- Olufunmilola Onolaja, Rami Bahsoon, and Georgios Theodoropoulos,
Agent-based Trust management and prediction using D3-FRT,
pp. 1119-1128.
Talk
- R. Madankan, P. Singla, A. Patra, M. Bursik, J. Dehn, M. Jones,
M. Pavolonis, B. Pitman, T. Singh, and P. Webley,
Polynomial Chaos Quadrature-based Minimum Variance Approach for Estimation of
Source Parameters,
pp. 1129-1138.
Talk
- Shigeru Imai and Carlos A. Varela,
A Programming Model for Spatio-Temporal Data Streaming Applications,
pp. 1139-1148.
Talk
- Y. Bazilevs, A.L. Marsden, F. Lanza di Scalea, A. Majumdar, and
M. Tatineni,
Toward a Computational Steering Framework for Large-Scale Composite
Structures Based on Continually and Dynamically Injected Sensor Data,
pp. 1149-1158.
Talk
- Anthony Vodacek, John P. Kerekes, and Matthew J. Hoffman,
Adaptive Optical Sensing in an Object Tracking DDDAS,
pp. 1159-1166.
Talk
Session III
- Funmilade Faniyi, Rami Bahsoon, and Georgios Theodoropoulos,
A Dynamic Data-Driven Simulation Approach for Preventing Service Level
Agreement Violations in Cloud Federation,
pp. 1167-1176.
Talk
- Gregory R. Madey, M. Brian Blake, Christian Poellabauer,
Hongsheng Lu, R. Ryan McCune, and Yi Wei,
Applying DDDAS Principles to Command, Control and Mission Planning for UAV
Swarms,
pp. 1177-1186.
Talk
- S. Ravela,
Quantifying Uncertainty for Coherent Structures,
pp. 1187-1196.
Talk
- Chetan Kumar Ng, Sudhanshu Vyas, Jonathan A. Shidal, Ron K. Cytron,
Christopher D. Gill, Joseph Zambreno, and Phillip H. Jones,
Improving System Predictability and Performance via Hardware Accelerated
Data Structures,
pp. 1197-1205.
Talk
- D. Allaire, G. Biros, J. Chambers, O. Ghattas, D. Kordonowy, and
K. Willcox,
Dynamic Data Driven Methods for Self-aware Aerospace Vehiclies,
pp. 1206-1210.
Talk
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