Dynamic Data-Driven Systems Approach for Simulation Based Optimizations

Authors:
Tahsin Kurc;Xi Zhang;Manish Parashar;Hector Klie;Mary F. Wheeler;Umit Catalyurek;Joel Saltz
Affiliations:
Dept. of Biomedical Informatics, The Ohio State University, Ohio, USA;Dept. of Biomedical Informatics, The Ohio State University, Ohio, USA;TASSL, Dept. of Electrical & Computer Engineering, Rutgers, The State University of New Jersey, New Jersey, USA;CSM, ICES, The University of Texas at Austin, Texas, USA;CSM, ICES, The University of Texas at Austin, Texas, USA;Dept. of Biomedical Informatics, The Ohio State University, Ohio, USA;Dept. of Biomedical Informatics, The Ohio State University, Ohio, USA
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Year:
2007

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Abstract

This paper reviews recent developments in our project that are focused on dynamic data-driven methods for efficient and reliable simulation based optimization, which may be suitable for a wide range of different application problems. The emphasis in this paper is on the coupling of parallel multiblock predictive models with optimization, the development of autonomic execution engines for distributing the associated computations, and deployment of systems capable of handling large datasets. The integration of these components results in a powerful framework for developing large-scale and complex decision-making systems for dynamic data-driven applications.