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Goal-Directed Grid-Enabled Computing for Legacy Simulations
March 2012
Ernest H. Page, The MITRE Corporation
Laurie Litwin, The MITRE Corporation
Matthew T. McMahon, The MITRE Corporation
Brian Wickham, The MITRE Corporation
Mike Shadid, The MITRE Corporation
Elizabeth Chang, The MITRE Corporation
ABSTRACT
We describe a middleware framework conceived to enhance the effectiveness and efficiency of existing simulation
applications by providing three capabilities: (1) access to grid-based and cloud-based execution, (2) access to advanced Design
of Experiments (DOE) methodologies such as simulation-based optimization, and (3) access to robust data processing and
visualization. The framework has been applied to a variety of simulations in both commercial and open source programming languages employing both discrete and continuous modeling formalisms. A key design objective is to minimize the workload necessary to adapt a simulation for use with the framework. User experience to date reveals that the learning curve for the
framework is reasonable, but further automation of key tasks would enhance the framework's utility.
Copyright
Copyright © 2012 IEEE. Reprinted from IEEE IT Professional. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the
products or services of The Mitre Corporation. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Additional Search Keywords
Simulation-based optimization; grid computing
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