Dynamic data-driven systems approach for simulation based optimizations

Tahsin Kure; Xi Zhang; Manish Parashar; Hector Klie; Mary F. Wheeler; Umit Catalyurek; Joel Saltz

Dynamic data-driven systems approach for simulation based optimizations

Tahsin Kure
, Xi Zhang
, Manish Parashar
, Hector Klie
, Mary F. Wheeler
, Umit Catalyurek
, Joel Saltz

Biomedical Informatics

Stony Brook University

Ohio State University
Rutgers - The State University of New Jersey, New Brunswick
University of Texas at Austin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I
Pages	1213-1221
Number of pages	9
State	Published - 2007
Event	7th International Conference on Computational Science, ICCS 2007 - Beijing, China Duration: May 27 2007 → May 30 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4487 LNCS

Conference

Conference	7th International Conference on Computational Science, ICCS 2007
Country/Territory	China
City	Beijing
Period	05/27/07 → 05/30/07

Cite this

Kure, T., Zhang, X., Parashar, M., Klie, H., Wheeler, M. F., Catalyurek, U., & Saltz, J. (2007). Dynamic data-driven systems approach for simulation based optimizations. In Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I (pp. 1213-1221). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4487 LNCS).

@inproceedings{8a899bd0b5b749e193b1fd871d871740,

title = "Dynamic data-driven systems approach for simulation based optimizations",

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.",

author = "Tahsin Kure and Xi Zhang and Manish Parashar and Hector Klie and Wheeler, \{Mary F.\} and Umit Catalyurek and Joel Saltz",

year = "2007",

language = "English",

isbn = "9783540725831",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "1213--1221",

booktitle = "Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I",

note = "7th International Conference on Computational Science, ICCS 2007 ; Conference date: 27-05-2007 Through 30-05-2007",

}

Kure, T, Zhang, X, Parashar, M, Klie, H, Wheeler, MF, Catalyurek, U & Saltz, J 2007, Dynamic data-driven systems approach for simulation based optimizations. in Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4487 LNCS, pp. 1213-1221, 7th International Conference on Computational Science, ICCS 2007, Beijing, China, 05/27/07.

Dynamic data-driven systems approach for simulation based optimizations. / Kure, Tahsin; Zhang, Xi; Parashar, Manish et al.
Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I. 2007. p. 1213-1221 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4487 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Dynamic data-driven systems approach for simulation based optimizations

AU - Kure, Tahsin

AU - Zhang, Xi

AU - Parashar, Manish

AU - Klie, Hector

AU - Wheeler, Mary F.

AU - Catalyurek, Umit

AU - Saltz, Joel

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/37249011475

M3 - Conference contribution

SN - 9783540725831

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 1213

EP - 1221

BT - Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I

T2 - 7th International Conference on Computational Science, ICCS 2007

Y2 - 27 May 2007 through 30 May 2007

ER -

Kure T, Zhang X, Parashar M, Klie H, Wheeler MF, Catalyurek U et al. Dynamic data-driven systems approach for simulation based optimizations. In Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I. 2007. p. 1213-1221. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Dynamic data-driven systems approach for simulation based optimizations

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