Workshop on Dynamic Data-Driven Application Systems
ICCS 2013, Barcelona, Spain

June 5-7, 2013

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 2013.

Organizers

Craig C. Douglas, University of Wyoming

Abani Patra, University of Buffalo

Ana Cortés, Universitat Autonoma de Barcelona

Papers and citations

The citation is Procedia Computer Science, 18 (2013), pp. 1-2642. The volume is online at Procedia Computer Science, vol. 18, pp. 1-2642.

Page numbers for individual papers are with each entry below. The speaker's name is underlined.

Thursday, June 6

Session I

• C. C. Douglas, A. Patra, and A. Cortes, Dynamic Data-Driven Application Systems - DDDAS 2013 (introduction).
• C. C. Douglas, V. Calo, D. C. Cerwinsky, L. Deng, and Y. Efendiev, Using Shape Memory Alloys: a Dynamic Data Driven Approach, pp. 1844-1850.
     Talk (pdf)
• C. Brun, T. Margalef, and A. Cortes, Coupling Diagnostic and Prognostic Models to a Dynamic Data Driven Forest Fire Spread Prediction System, pp. 1851-1860.
     Talk (ppsm)
• R. Rodriguez, M. Di Leo, A. Cortes, J. San Miguel-Ayanz, A Data-Driven Model for Big Forest Fires Behavior Prediction in Europe, pp. 1861-1870.
     Talk (ppsm)
• A. K. Patra, M. I. Bursik, J. Dehn, M. Jones, M. Pavolonis, E. B. Pitman, T. Singh, P. Singla, E. R. Stefanescu, S. Pouget, and P. Webley, Challenges in Developing DDDAS Based Methodology for Volcanic Ash Hazard Analysis - Effect of Numerical Weather Prediction Variability and Parameter Estimation, pp. 1871-1880.
     Talk (pdf)
• T. Chen, R. Bahsoon, and G. Theodoropoulos, Dynamic QoS Optimization Architecture for Cloud-based DDDAS, pp. 1881-1890.
     Talk (pdf)

Session II

• C. Kumar N G, S. P. Vyas, R. K. Cytron, C. D. Gill, J. A. Zambreno, P. H. Jones, Scheduling Challenges in Mixed Critical Real-time Heterogeneous Computing Platforms, pp. 1891-1898.
     Talk (ppsm)
• N. Celik, A. E. Thanos, and J. P. Saenz, DDDAMS-based Dispatch Control in Power Networks, pp. 1899-1908.
     Talk (pdf)
• A. Sandu, A. G. Cioaca, and V. Rao, Dynamic Sensor Location Using Model Singular Vectors, pp. 1909-1918.
     Talk (pdf)
• A. D'Amato, A. Ali, A. Ridley, and D. Bernstein, Retrospective Cost Methods for DDDAS, pp. 1919-1928.
     Talk (pdf)
• G. Dsouza, S. Hariri, Y. Al-Nashif, and G. Rodriguez, Resilient Dynamic Data Driven Application Systems (r-DDDAS), pp. 1929-1938.
     Talk (ppsm)

Session III

• Y. Wei, G. Madey, and M. B. Blake, An Operation-time Simulation Framework for UAV Swarm Configuration and Mission Planning, pp. 1949-1958.
     Talk (ppsm)
• D. Allaire, J. Chambers, R. Cowlagi, D. Kordonowy, M. Lecerf, L. Mainini, F. Ulker, and K. Willcox, A Baseline Offline/Online DDDAS Capability for Self-Aware Aerospace Vehicles, pp. 1959-1968.
     Talk (pdf)
• T. C. Henderson and N. Boonsirisumpun, The Impact of Parameter Estimation on Model Accuracy Assessment, pp. 1969-1978.
     Talk (ppsm)
• B. Uzkent, M. J. Hoffman, A. Vodacek, J. P. Kerekes, B. Chen, Feature Matching and Adaptive Prediction Models in an Object Tracking DDDAS, pp. 1939-1948.
     Talk (pdf)
• L. Xiong, PREDICT: Privacy and Security Enhancing Dynamic Information Collection and Monitoring, pp. 1979-1988.
     Talk (pdf)

Friday, June 7

Session IV

• E. Frew, B. Argrow, A. Houston, C. Weiss, and J. Elston, An Energy-Aware Airborne Dynamic Data-Driven Application System for Persistent Sampling and Surveillance, pp. 2008-2017.
     Talk (ppsm, 488 MB)
• R. A. Purta, M. Dobski, A. Jaworski, and G. Madey, A Testbed for Investigating the UAV Swarm Command and Control Problem Using DDDAS, pp. 2018-2027.
     Talk (ppsm)
• V. N. Alexandrov, Dynamic Data-Driven Application System methods in Economics and Financial Systems Modelling. Winner of ICCS 2013 Best Conference Paper.
     Talk (pdf)
• Y. Bazilevs, M.-C. Hsu, and M. T. Bement, (speaker A. Korobenko), Adjoint-Based Control of Fluid-Structure Interaction for Computational Steering Applications, pp. 1989-1998.
     Talk (ppsm)
• E. P. Blasch, (speaker C. C. Douglas), Dynamic Data Driven Applications System Concept for Information Fusion, pp. 1999-2007.
     Talk (ppsm)

Session V

• S. Ravela, I. Sleder, and T. Vigil, Tracking and Mapping Coherent Structures, pp. n/a.
     Talk (pdf)
• R. Klockowski, C. Varela, S. Imai, and C. Rice, Autonomous Data Error Detection and Recovery in Streaming Applications, pp. 2036-2045.
     Talk (pdf)
• E.E. Prudencio, P. T. Bauman, D. Faghihi, and J. T. Oden, K. Ravi-Chandar, and S. V. Williams, A Dynamic Data Driven Application System for Real-time Monitoring of Stochastic Damage, pp. 2056-2065.
     Talk (pdf)
• Z. Wang, M. Li, A. Khaleghi, D. Xu, A. Lobos, C. Vo, J.-M. Lien, J. Liu, and Y.-J. Son, DDDAMS-based Crowd Control via UAVs and UGVs, pp. 1999-2007.
     Talk (ppsm)
• Y. G. Kevrekidis, M. O. Williams, P. G. Kevrekidis, and C. Daraio, Equation-Free Computations as DDDAS Protocols in the Study of Engineered Granular Crystals.
     Talk (pdf)
• N. Virani, S. Marcks, S. Sarkar, K. Mukherjee, A. Ray, and S. Phoha, Dynamic Data Driven Sensor Array Fusion for Target Detection and Classification, pp. 2046-2055.