Abstract
Concurrent and distributed simulation has proven its value reducing the time researchers spend in simulation model validation and execution. Our research group has developed distributed simulation tools applicable to any discrete-event simulator. PVM was used before as distributed execution environment, but the use of PVM is not transparent for final users. On the other hand, GRID frameworks are being used successfully to distribute execution of applications. Once a GRID framework is installed and configured, it is very easy to use for any user so we thought that GRID frameworks could be a better base system than PVM for our distributed simulation tool. The experience presented in this paper shows that GRID frameworks offer an environment that is easier to exploit, while providing similar efficiency than the PVM version used previously.
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References
Fujimoto, R.M.: Parallel and distributed simulation systems. John Wiley, Chichester (2000)
Zarei, B.: A taxonomic review of parallel discrete event simulation. In: Proceedings of the 12th European Simulation Symposium, pp. 61–76 (2000)
Perles, A., Martí, A., Serrano, J.J.: Clustered simulation experimenter: A tool for concur-rent simulation execution on loosely coupled workstations. In: Proceedings 13th European Simulation Multiconference. Society for Computer Simulation International, pp. 207–214 (1999)
Lin, Y.-B.: Parallel independent replicated simulation on a network of workstations. In: Proceedings of the 8th Workshop on Parallel and Distributed Simulation (PADS 1994), vol. 24(1), pp. 73–80 (1994)
Yau, V.: Automating parallel simulation using parallel time streams. ACM Transactions on Modeling and Computer Simulation 9(2), 171–201 (1999)
Rego, V.J., Sunderam, V.S.: Experiments in concurrent stochastic simulation: The EcliPSe paradigm. Journal of Parallel and Distributed Computing 14(1), 66–84 (1992)
MacDougall, M.H.: Simulating Computer Systems. The MIT Press, Cambridge (1987)
User’s guide: CSIM18 Simulation Engine. Mesquite Software, Inc. (1998)
Geist, A., Beguelin, A., Dongarra, J., Jiang, W., Manchek, R., Sunderam, V.: PVM3 user’s guide and reference manual. Technical Report ORNL/TM-12187, Oak Ridge National Laboratory (1994)
Foster, I., Kesselman, C., Tuecke, S.: The anatomy of the grid: enabling scalable virtual organizations. Int. J. Supercomp. Appl. 15(1), 115–128 (2001)
The Globus Project, http://www.globus.org
L’Ecuyer, P.: Some recomendable uniform random number generators. In: Proceedings of the 13th European Simulation Multiconference, vol. 2, pp. 185–190 (1999)
Law, A.M., Kelton, W.D.: Simulation Modeling and Analysis. Ed. McGraw-Hill, New York (2000)
Glynn, P.W.: Some new results on the initial transient problem. In: Proceedings of the 1995 Winter Simulation Conference, pp. 165–170 (1995)
Perles, A.: Técnicas para el aprovechamiento de redes de computadores heterogéneos en la ejecución paralela de modelos de simulación por eventos discretos. Ph.D Thesis. Universi-dad Politécnica de Valencia (2003)
Bhavsar, V.C., Isaac, J.R.: Design and analysis of parallel Monte-Carlo algorithms. SIAM Journal on Scientific and Statistical Computing 8, 73–95 (1987)
Migliardi, M., Kurzyniec, D., Sunderam, V.S.: Standards Based Heterogeneous Meta-computing: The Design of HARNESS II. In: Proceedings of the 16th international Parallel and Distributed Processing Symposium (HCW 2002), p. 304 (2002)
Zhuge, H.: The Future Interconnection Environment. IEEE Computer 38(4), 27–33 (2005)
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Perles, Á., Martí, A., Rodríguez, F., Serrano, J.J., Mateo, M.A. (2005). Experiences on Parallel Replicated Discrete-Event Simulation on a GRID. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_44
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DOI: https://doi.org/10.1007/11590354_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30510-1
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