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Eliminating event cancellation in discrete event simulation
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Source Winter Simulation Conference archive
Proceedings of the 27th conference on Winter simulation table of contents
Arlington, Virginia, United States
Pages: 744 - 750  
Year of Publication: 1995
ISBN:0-7803-3018-8
Authors
Eric L. Savage  School of Operations Research and Industrial Engineering, Cornell University, Ithaca, New York
Lee W. Schruben  School of Operations Research and Industrial Engineering, Cornell University, Ithaca, New York
Sponsors
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
INFORMS/CS : Computer Science TC
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 8,   Citation Count: 3
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ABSTRACT

The cancellation of previously scheduled events not only results in a model running less efficiently, it precludes the application of some analysis techniques such as infinitesimal perturbation analysis. While same simulation languages (SIMSCRIPT, SIGMA) include an explicit facility for event cancellation, others do not (SLAM, GPSS, SIMAN). From computation theory, it is known that event cancellation is never necessary; but it is sometimes a convenient modeling technique. Unfortunately, there has been no general methodology developed for eliminating event cancellation from a simulation model. We present a simple general approach. Applications to two classical models where event cancellation is typically used serve as illustrations of the method.


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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Cola, B. A. and R, G. Sargent. 1989. Automatic Lookahead Computation for Conservative Distributed Simulation, CASE Center Technical Report No. 8916, Syracuse University, Syracuse, NY.
 
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Glynn, P. 1989. A GSMP Formalism for Discrete Event Systems. Proceedings of the IEEE 77 (1): 14-23.
 
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Iglehart, D. L. and G. S. Shedler. 1983. Simulation of Non-Markovian Systems. IBM Journal of Research and Development 27(5):472-479.
 
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Som, T. K. and R. G. Sargent. 1989. A Formal Development of Event Graphs as an Aid to Structured and Efficient Simulation Programs. ORSA Journal on Computing 1(2):107-125.
 
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Yucesan, E. 1989. Simulation Graphs for Design and Analysis of Discrete Event Simulation Models, Ph.D. Dissertation, School of OR&m, Comell University, Ithaca, NY.
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Collaborative Colleagues:
Eric L. Savage: colleagues
Lee W. Schruben: colleagues