Abstract
The best known modeling approaches used in the simulation are discrete event simulation (DES) and system dynamics (SD). Discrete rate modeling (DRM) has been proposed by the Extendsim software manufacturer and combines both approaches but also provides new opportunities. The purpose of the paper is to compare implementation issues in DRM and DES approaches. The first part presents the use of the simulation package Extendsim for all approaches. The next part presents the assumptions of several models developed to compare the elements of methodology for discrete event modeling and discrete rate modeling. The one source and one-way structure as well as structures with many sources, streams and discrete attributes in both approach were proposed. The results of models were experimentally evaluated and discussed. Performances of approaches were compared. We pointed out the benefits of the DRM approach. DRM is particularly useful in high-intensity input streams.
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References
Banks, J., Carson II, J.S., Nelson, B.L., Nicol, D.M.: Discrete-Event System Simulation, 5th edn., Pearson, Upper Saddle River, New Jersey (2010)
Béchard, V., Côté, N.: Simulation of mixed discrete and continuous systems: an iron ore terminal example. In: Proceedings of the 2013 Winter Simulation Conference (2013)
Górski A.: Wspomaganie symulacji komputerowej w zakresie poszukiwania rozwiązań suboptymalnych poprzez integrację z algorytmem genetycznym; Komputerowo zintegrowane zarządzanie. Zbiór prac, T. 1/ Ryszard Knosala. (eds.) (2003) [in Polish]
Imagine That Inc. Solutions: Simulation Software Overview, http://www.extendsim.com/sols_simoverview.html (2002–2013))
Imagine That inc, Extendsim 9, http://www.extendsim.com/ (2013)
Kind, A., Metzler, B.: Rate-Based Active Queue Management with Token Buckets; High-Speed Networks and Multimedia Communications, pp. 176–187. Springer, Berlin (2003)
Kirkwood, C.W.: System Dynamics Methods: A Quick Introduction, Chapter 4: Basic Feedback Structures, http://www.public.asu.edu/~kirkwood/sysdyn/SDIntro/ch-4.pdf
Krahl, D.: Extendsim advanced technology: discrete rate simulation. In: Rossetti, M.D., Hill, R.R., Johansson, B., Dunkin, A., Ingalls, R.G. (eds.) Proceedings of the 2009 Winter Simulation Conference (2009)
Reggelin, T., Tolujew, J.: A mesoscopic approach to modeling and simulation of logistics processes. In: Jain, S., Creasey, R.R., Himmelspach, J., White, K.P., Fu, M. (eds.) Proceedings of the 2011 Winter Simulation Conference (2011)
Sharda, B., Bury, S.: A discrete event simulation model for reliability modeling of a chemical plant. In: Mason, S.J., Hill, R.R., Moench, L., Rose, O. (eds.) Proceedings of the 2008 Winter Simulation Conference, pp. 1736–1740. Institute of Electrical and Electronics Engineers, Inc., Piscataway, New Jersey (2008)
Simonovic, S.P.: Managing water resources: methods and tools for a systems approach. Routledge (2012)
Vasudevan, K.: Simulation of high speed bottle manufacturing lines—software evaluation, techniques and results. In: Proceedings of the IIE Conference and Expo (2009)
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Extend blocks copyright 1987–2015 Imagine That, Inc. All rights reserved. This work, Comparison of discrete rate modeling and discrete event simulation. Methodological and performance aspects, was financed by the grant from the National Science Centre, Poland, which was awarded based on the decision 2015/17/B/HS4/00306
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Zabawa, J., Radosiński, E. (2017). Comparison of Discrete Rate Modeling and Discrete Event Simulation. Methodological and Performance Aspects. In: Świątek, J., Wilimowska, Z., Borzemski, L., Grzech, A. (eds) Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part III. Advances in Intelligent Systems and Computing, vol 523. Springer, Cham. https://doi.org/10.1007/978-3-319-46589-0_12
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DOI: https://doi.org/10.1007/978-3-319-46589-0_12
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