An Agent-Based Netcentric Framework for Multidisciplinary Problem Solving Environments (MPSE).

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Bibliographic Details
Title:	An Agent-Based Netcentric Framework for Multidisciplinary Problem Solving Environments (MPSE).
Authors:	Markus, S., Houstis, E. N., Catlin, A. C., Rice, J. R., Tsompanopoulou, P., Vavalis, E., Gottfried, D., Su, K., Balakrishnan, G.
Source:	International Journal of Computational Engineering Science. Jun2000, Vol. 1 Issue 1, p33. 28p.
Subjects:	Netcentric computing, Problem solving
Abstract:	The process of prototyping is part of every scientific inquiry, product design, and learning activity. The new economic realities require the rapid prototyping of manufactured artifacts and rapid solutions to problems with numerous interrelated elements. This, in turn, requires the fast, accurate simulation of physical processes and design optimization using knowledge and computational models from multiple disciplines (multi-physics and multi-scale models) in science and engineering. Thus, the realization of rapid multidisciplinary prototyping is the new grand challenge. In this application scenario the natural computational resource is a "computational grid" that connects the needed distributed hardware and software resources used to simulate the elements of the artifact. Our research goal is to address this application scenario in the context of parallel computing, cluster computing (LAN based computational grids), and Intranet/Internet computational grids. In this document, we describe the initial design of a generic MPSE framework based on a network of computational agents assuming a net-centric run-time support environment. Moreover, we present the realization of this framework for designing a prototype MPSE (GasTurbnLab) for supporting simulations needed for the design of efficient gas turbine engines. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	The process of prototyping is part of every scientific inquiry, product design, and learning activity. The new economic realities require the rapid prototyping of manufactured artifacts and rapid solutions to problems with numerous interrelated elements. This, in turn, requires the fast, accurate simulation of physical processes and design optimization using knowledge and computational models from multiple disciplines (multi-physics and multi-scale models) in science and engineering. Thus, the realization of rapid multidisciplinary prototyping is the new grand challenge. In this application scenario the natural computational resource is a "computational grid" that connects the needed distributed hardware and software resources used to simulate the elements of the artifact. Our research goal is to address this application scenario in the context of parallel computing, cluster computing (LAN based computational grids), and Intranet/Internet computational grids. In this document, we describe the initial design of a generic MPSE framework based on a network of computational agents assuming a net-centric run-time support environment. Moreover, we present the realization of this framework for designing a prototype MPSE (GasTurbnLab) for supporting simulations needed for the design of efficient gas turbine engines. [ABSTRACT FROM AUTHOR]
ISSN:	14658763
DOI:	10.1142/S1465876300000045