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Simulation versus analytic-numeric methods: illustrative examples
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Source ValueTools; Vol. 321 archive
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools table of contents
Nantes, France
SESSION: Simulation II table of contents
Article No. 63  
Year of Publication: 2007
ISBN:978-963-9799-00-4
Authors
B. Tuffin  IRISA/INRIA, Rennes Cedex, France
P. K. Choudhary  Duke University, Durham, NC
C. Hirel  Duke University, Durham, NC
K. S. Trivedi  Duke University, Durham, NC
Sponsors
SIGSIM: ACM Special Interest Group on Simulation and Modeling
: Create-Net
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
Publisher
Bibliometrics
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ABSTRACT

Performance along with dependability analysis is a tremendous challenge in the design or improvement of modern complex systems. Two different classes of solution methods are generally used: analytic-numeric methods and simulation methods. As most of the literature explains, the choice between them depends more on the analyst's background than on the system itself. In this paper, we illustrate the advantages and drawbacks of each method on real problems and compare the results. Finally we conclude the paper providing some hints to choose a solution method depending on the model. We use SPNP, a Petri net analysis package, and CSIM 19, as simulation package to model and evaluate systems.


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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Collaborative Colleagues:
B. Tuffin: colleagues
P. K. Choudhary: colleagues
C. Hirel: colleagues
K. S. Trivedi: colleagues