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Reusing simulation components: cost: a component-oriented discrete event simulator

Authors:

Gilbert Chen,

Boleslaw K. SzymanskiAuthors Info & Claims

WSC '02: Proceedings of the 34th conference on Winter simulation: exploring new frontiers

Pages 776 - 782

Published: 08 December 2002 Publication History

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Abstract

COST (Component-Oriented Simulation Toolkit) is a general-purpose discrete event simulator. The main design purpose of COST is to maximize the reusability of simulation models without losing efficiency. To achieve this goal, COST adopts a component-based simulation worldview based on a component-port model. A simulation is built by configuring and connecting a number of components, either off-the-shelf or fully customized. Components interact with each other only via input and output ports, thus the development of a component becomes completely independent of others. The component-port model of COST makes it easy to construct simulation components from scratch. Implemented in C++, COST also features a wide use of templates to facilitate language-level reuse.

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Information & Contributors

Information

Published In

WSC '02: Proceedings of the 34th conference on Winter simulation: exploring new frontiers

December 2002

2143 pages

ISBN:0780376153

General Chair:
Jane L. Snowdon
IBM T. J. Watson Research Center, Yorktown Heights, NY
,
Program Chair:
John M. Charnes
The University of Kansas, Lawrence, KS

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Winter Simulation Conference

Publication History

Published: 08 December 2002

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WSC02

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INFORMS/CS
IIE
ASA
ACM
SIGSIM
IEEE/CS
NIST
(SCS)
IEEE/SMCS

WSC02: Winter Simulation Conference 2002

December 8 - 11, 2002

California, San Diego

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WSC '02 Paper Acceptance Rate 166 of 185 submissions, 90%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

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Minakov IPasserone RRizzardi ASicari S(2016)A Comparative Study of Recent Wireless Sensor Network SimulatorsACM Transactions on Sensor Networks10.1145/290314412:3(1-39)Online publication date: 26-Jul-2016
https://dl.acm.org/doi/10.1145/2903144
Paul DSmith RVrbsky S(2012)A computational investigation of wireless sensor network simulationProceedings of the 50th annual ACM Southeast Conference10.1145/2184512.2184625(401-402)Online publication date: 29-Mar-2012
https://dl.acm.org/doi/10.1145/2184512.2184625
Robinson WDing Y(2010)A survey of customization support in agent-based business process simulation toolsACM Transactions on Modeling and Computer Simulation10.1145/1842713.184271720:3(1-29)Online publication date: 7-Oct-2010
https://dl.acm.org/doi/10.1145/1842713.1842717
Kara ADeniz FBozağaç DAlpdemir M(2009)Simulation modeling architecture (SiMA), a DEVS based modeling and simulation frameworkProceedings of the 2009 Summer Computer Simulation Conference10.5555/2349508.2349550(315-321)Online publication date: 13-Jul-2009
https://dl.acm.org/doi/10.5555/2349508.2349550
Glaser JWeber DMadani SMahlknecht S(2008)Power aware simulation framework for wireless sensor networks and nodesEURASIP Journal on Embedded Systems10.1155/2008/3691782008(1-16)Online publication date: 1-Jan-2008
https://dl.acm.org/doi/10.1155/2008/369178
Cano CGuerrero MBellalta B(2008)Secure and Efficient Data Collection in Sensor NetworksWireless Systems and Mobility in Next Generation Internet10.1007/978-3-540-89183-3_4(37-48)Online publication date: 16-Jan-2008
https://dl.acm.org/doi/10.1007/978-3-540-89183-3_4
Röhl MUhrmacher ANicol DFujimoto R(2006)Composing simulations from XML-specified model componentsProceedings of the 38th conference on Winter simulation10.5555/1218112.1218310(1083-1090)Online publication date: 3-Dec-2006
https://dl.acm.org/doi/10.5555/1218112.1218310
Uhrmacher ADegenring DLemcke JKrahmer M(2004)Towards reusing model components in systems biologyProceedings of the 20 international conference on Computational Methods in Systems Biology10.1007/978-3-540-25974-9_15(192-206)Online publication date: 26-May-2004
https://dl.acm.org/doi/10.1007/978-3-540-25974-9_15

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