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Web-based simulation 2: performance prediction of dynamic component substitutions
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Source Winter Simulation Conference archive
Proceedings of the 34th conference on Winter simulation: exploring new frontiers table of contents
San Diego, California
SESSION: Web-based simulation table of contents
Pages: 816 - 824  
Year of Publication: 2002
ISBN:0-7803-7615-3
Authors
Dhananjai M. Rao  Experimental Computing Laboratory, Cincinnati, OH
Philip A. Wilsey  Experimental Computing Laboratory, Cincinnati, OH
Sponsors
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
INFORMS/CS : Institute for Operations Research and the Management Sciences/College on Simulation
NIST : National Institute of Standards and Technology
ACM: Association for Computing Machinery
(SCS) : The Society for Modeling and Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
Publisher
Winter Simulation Conference 
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ABSTRACT

The Web-based Environment for Systems Engineering (wese) is a web-based modeling and simulation environment in which the level of abstraction of a model can be configured <i>statically</i> (prior to simulation) or <i>dynamically</i> (during simulation) by substituting a <i>module</i> (set of components) with an equivalent component or vice versa through a process called Dynamic Component Substitution (DCS). DCS can considerably improve the overall efficiency of simulations by enabling dynamic tradeoffs between several modeling and simulation related parameters. However, identifying ideal sequence of DCS is a complicated task. This paper proposes a novel methodology called <i>DCS performance prediction methodology</i> (<sc>DCSppm</sc>) to identify ideal sequences of DCS. <sc>DCSppm</sc> utilizes estimates of the changes induced by each <i>atomic</i> DCS along with model characteristics to predict the changes induced by a combination of substitutions. Our studies indicate that the proposed methodology provides good estimates (maximum error < 8%) of the changes induced by DCS.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Hogg, R. V., and A. T. Craig. 1995. Introduction to mathematical statistics. Englewood Cliffs, New Jersey: Prentice Hall.
 
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Jain, R. 1991. The art of computer systems performance analysis: Techniques for experimental design, measurement, simulation, and modeling. New York, NY: Wiley-Interscience.
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Rao, D. M., V. Chernyakhovsky, and P. A. Wilsey. 2000. WESE: A Web-based Environment for Systems Engineering. In 2000 International Conference On Web-Based Modelling & Simulation (WebSim'2000). Society for Computer Simulation.
 
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Collaborative Colleagues:
Dhananjai M. Rao: colleagues
Philip A. Wilsey: colleagues