| Channel based sequential simulation |
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Winter Simulation Conference
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Proceedings of the 37th conference on Winter simulation
table of contents
Orlando, Florida
SESSION: Modeling methodology B: language modeling improvements
table of contents
Pages: 637 - 647
Year of Publication: 2005
ISBN:0-7803-9519-0
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Winter Simulation Conference
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Downloads (6 Weeks): 1, Downloads (12 Months): 27, Citation Count: 1
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ABSTRACT
Sequential discrete event simulation is widely employed to study the behavior of many systems. Events are typically managed in a central event list which is implemented as a priority queue ordered by event timestamps. Most research to improve sequential simulation performance has focused on improving the priority queue implementations. Recent work has demonstrated that asynchronous conservative parallel discrete event simulation systems can achieve better sequential performance under some conditions, but worse performance under other conditions. This paper introduces a new sequential discrete event simulation algorithm that can exhibit some of the same performance advantages of asynchronous conservative parallel discrete event simulation algorithms and has complexity no more than that of central event list algorithms in the worst case.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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T. D. Blanchard , T. W. Lake , S. J. Turner, Cooperative acceleration: robust conservative distributed discrete event simulation, Proceedings of the eighth workshop on Parallel and distributed simulation, p.58-64, July 06-08, 1994, Edinburgh, Scotland, United Kingdom
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Cai, W., and S. J. Turner. 1990. An algorithm for distributed discrete-event simulation - the "carrier null message" approach. In Proceedings of the SCS Multiconference on Distributed Simulation, Volume 22 of SCS Simulation Series, 3--8.
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Chandy, K. M., and J. Misra. 1979. Distributed simulation: A case study in design and verification of distributed programs. IEEE Transactions on Software Engineering SE-5 (5): 440--452.
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