Automatic run-time choice for simulation length in mimesis

M. Becker; A.-L. Beylot; G. Damm; W.-Y. Thang

RAIRO - Operations Research - Recherche Opérationnelle (1999)

  • Volume: 33, Issue: 1, page 93-115
  • ISSN: 0399-0559

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Becker, M., et al. "Automatic run-time choice for simulation length in mimesis." RAIRO - Operations Research - Recherche Opérationnelle 33.1 (1999): 93-115. <http://eudml.org/doc/105187>.

@article{Becker1999,
author = {Becker, M., Beylot, A.-L., Damm, G., Thang, W.-Y.},
journal = {RAIRO - Operations Research - Recherche Opérationnelle},
language = {eng},
number = {1},
pages = {93-115},
publisher = {EDP-Sciences},
title = {Automatic run-time choice for simulation length in mimesis},
url = {http://eudml.org/doc/105187},
volume = {33},
year = {1999},
}

TY - JOUR
AU - Becker, M.
AU - Beylot, A.-L.
AU - Damm, G.
AU - Thang, W.-Y.
TI - Automatic run-time choice for simulation length in mimesis
JO - RAIRO - Operations Research - Recherche Opérationnelle
PY - 1999
PB - EDP-Sciences
VL - 33
IS - 1
SP - 93
EP - 115
LA - eng
UR - http://eudml.org/doc/105187
ER -

References

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  2. 2. M. BADEL, Quelques problèmes liés à la simulation de modèles de systèmes informatiques, Thèse de Docteur-Ingénieur, Université de Paris VI, France, 1975. 
  3. 3. A. LAW and W. D. KELTON, Confidence Intervals for Steady-State Simulations: I. A.Survey of Fixed Sample Size Procedure, Operations Research, 1984, 32, n° 6, pp. 1221-1239. Zbl0557.62077
  4. 4. H. DAMERDJI, Strong Consistency of the Variance Estimator in Steady-State Simulation Output Analysis, Mathematics of Operations Research, 1994, 19, n° 2, pp. 494-512. Zbl0803.65147MR1290511
  5. 5. C. CHIEN, Batch Size Selection for the Batch Means Method, Proceedings of the 1994 Winter Simulation Conference, 1994, pp. 345-352. 
  6. 6. M. K. NAKAYAMA, Two-Stage Stopping Procedures Based on Standardized Time Series, Management Science, 1994, 40, n° 9, pp. 1189-1206. Zbl0811.62092
  7. 7. W. Y. THANG and G. DAMM, An Environment for Performance Evaluation: MEMESIS (Machine-Implemented Modelling and Exploratory Simulation from Initial Specification) Proceedings of the Summer Computer Simulation Conference 1996, Portland, Oregon, USA, July 1996. 
  8. 8. G. DAMM, W. Y. THANG, A. L. BEYLOT and M. BECKER, Generic Components for a Library of Parallel Architectures Models in MIMESIS, Proceedings of the Summer Computer Simulation Conference 1995, Ottawa, Ontario, Canada, July 24-26, 1995, pp. 773-778. 
  9. 9. M. BECKER, Validité des Simulations de Files d'Attente, Thèse de Doctorat d'État, Université Paris VI, France, 1976. 
  10. 10. P. LE GALL, L'ergodisme et la convergence des méthodes aléatoires, Annales des Télécommunications, 1967, 22, n° 7-8, pp. 221-228. Zbl0164.49803MR261998
  11. 11. M. BECKER and P. DOUILLET, Hierarchical Simulation for Rare Events, IASTED Modelling and Simulation, May 10-12, 1993. Zbl0768.65095
  12. 12. M. BECKER and P. BECKER, Optimal Simulation Lengths for Various Algorithms Computing the Mean, IMACS, 1978, 20, n° 1, pp. 44-52. Zbl0385.65002MR474696
  13. 13. L. KLEINROCK, Queueing Systems, Volume 1: Theory, John Wiley & Sons, 1975. Zbl0870.60091
  14. 14. CACI Products Company, MODSIM II, The Language for Object-Oriented Programming: Reference Manual, La Jolla, CA, USA, 1993. 

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