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