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The implementation of four conceptual frameworks for simulation modeling in high-level languages

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Osman BalciAuthors Info & Claims

WSC '88: Proceedings of the 20th conference on Winter simulation

Pages 287 - 295

https://doi.org/10.1145/318123.318204

Published: 01 December 1988 Publication History

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Abstract

This is a tutorial paper on how to implement a simulation model in a high-level programming language (e.g., C, Pascal, FORTRAN) by using the following conceptual frameworks (also called world views, simulation strategies, and formalisms): (1) event scheduling, (2) activity scanning, (3) three-phase approach, and (4) process interaction. Implementation details under each conceptual framework are covered in a high level without being concerned about execution efficiency. The purpose is to reveal the characteristics of the four conceptual frameworks so that the programmer can select and implement one to achieve certain model quality characteristics such as maintainability, reusability, and execution efficiency. A problem is defined for use as an example for illustrating the concepts throughout the paper.

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Thompson JHodson DGrimaila MHanlon NDill R(2023)Toward a Simulation Model Complexity MeasureInformation10.3390/info1404020214:4(202)Online publication date: 24-Mar-2023
https://doi.org/10.3390/info14040202
Zeigler BNicolau de França BGraciano Neto VHill RChampagne LÖren T(2023)History of SimulationBody of Knowledge for Modeling and Simulation10.1007/978-3-031-11085-6_17(413-434)Online publication date: 28-Jan-2023
https://doi.org/10.1007/978-3-031-11085-6_17
Castilla-Rodríguez IExpósito-Izquierdo CMelián-Batista BAguilar RMoreno-Vega J(2020)Simulation-optimization for the management of the transshipment operations at maritime container terminalsExpert Systems with Applications: An International Journal10.1016/j.eswa.2019.112852139:COnline publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1016/j.eswa.2019.112852
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The implementation of four conceptual frameworks for simulation modeling in high-level languages

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The Implementation of Four Conceptual Frameworks for Simulation Modeling in High-Level Languages
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Abstract
Many programming languages include the ability to divide large programs into smaller segments, which are compiled separately. When a small modification is made to a large program, then the affected segment only has to be re-compiled.

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Published In

WSC '88: Proceedings of the 20th conference on Winter simulation

December 1988

896 pages

ISBN:0911801421

DOI:10.1145/318123

Editors:
Michael A. Abrams
Hewlett-Packard Co., Cupertino, CA
,
Peter L. Haigh
NCR Corp., Dayton, OH
,
John C. Comfort
Florida International Univ., Miami

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Association for Computing Machinery

New York, NY, United States

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Published: 01 December 1988

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Thompson JHodson DGrimaila MHanlon NDill R(2023)Toward a Simulation Model Complexity MeasureInformation10.3390/info1404020214:4(202)Online publication date: 24-Mar-2023
https://doi.org/10.3390/info14040202
Zeigler BNicolau de França BGraciano Neto VHill RChampagne LÖren T(2023)History of SimulationBody of Knowledge for Modeling and Simulation10.1007/978-3-031-11085-6_17(413-434)Online publication date: 28-Jan-2023
https://doi.org/10.1007/978-3-031-11085-6_17
Castilla-Rodríguez IExpósito-Izquierdo CMelián-Batista BAguilar RMoreno-Vega J(2020)Simulation-optimization for the management of the transshipment operations at maritime container terminalsExpert Systems with Applications: An International Journal10.1016/j.eswa.2019.112852139:COnline publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1016/j.eswa.2019.112852
Tolk APage EMittal SFrydenlund EJafer SKavak H(2018)Hybrid simulation for cyber physical systemsProceedings of the Annual Simulation Symposium10.5555/3213032.3213042(1-12)Online publication date: 15-Apr-2018
https://dl.acm.org/doi/10.5555/3213032.3213042
Leathrum JMielke RCollins AAudette M(2017)Proposed unified discrete event simulation content roadmap for M&S curriculaProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242558(1-12)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242558
Balci OFujimoto RGoldsman DNance RZeigler B(2017)The state of innovation in modeling and simulationProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242244(1-16)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242244
Leathrum JMielke RCollins AAudette M(2017)Proposed unified discrete event simulation content roadmap for M&S curricula2017 Winter Simulation Conference (WSC)10.1109/WSC.2017.8248135(4300-4311)Online publication date: Dec-2017
https://doi.org/10.1109/WSC.2017.8248135
Zeigler BMuzy A(2017)From Discrete Event Simulation to Discrete Event Specified Systems (DEVS)IFAC-PapersOnLine10.1016/j.ifacol.2017.08.67250:1(3039-3044)Online publication date: Jul-2017
https://doi.org/10.1016/j.ifacol.2017.08.672
Taylor SBalci OCai WLoper MNicol DRiley GLoper MWainer G(2013)Grand challenges in modeling and simulationProceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation10.1145/2486092.2486151(403-408)Online publication date: 19-May-2013
https://dl.acm.org/doi/10.1145/2486092.2486151
Andelfinger PHartenstein HLoper MWainer G(2013)Towards performance evaluation of conservative distributed discrete-event network simulations using second-order simulationProceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation10.1145/2486092.2486120(221-230)Online publication date: 19-May-2013
https://dl.acm.org/doi/10.1145/2486092.2486120
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