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Parallel discrete event simulation: a modeling methodological perspective

Published: 01 July 1994 Publication History
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References

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Abrams, M. (1993). "Parallel Discrete Event Simulation: Fact or Fiction?" ORSA Journal on Computing, 5(3), pp. 231-233.
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Cited By

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  • (2016)Enhanced Null Message Algorithm for PDES with Diverse Event DensityTheory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems10.1007/978-981-10-2663-8_9(86-95)Online publication date: 22-Sep-2016
  • (1995)SimKitProceedings of the 27th conference on Winter simulation10.1145/224401.224714(706-713)Online publication date: 1-Dec-1995
  • (2015)A parallel cellular automata algorithm for the deterministic simulation of 3-D multicellular tissue growthCluster Computing10.1007/s10586-015-0455-718:4(1561-1579)Online publication date: 1-Dec-2015
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Recommendations

Reviews

Fabian Gomes

The future suitability of simulation as a viable tool to analyze large, complex, and elaborate systems relies on the concurrent execution of the simulation program in parallel or distributed multiprocessing environments. In the last 15 years, research in parallel (and distributed) discrete event simulation (PDES) [1–3] has focused on attainable simulation execution speedups. The main reason PDES is not embraced by the general simulation community is the lack of research contributions toward simplifying the development of simulation models for concurrent execution. The authors, after citing a profusion of papers “bemoaning the acceptance problem” of PDES, attempt to respond to the call for a discussion of the future of PDES. The authors point out that the PDES research community has not placed any importance on the role of the conceptual framework within the model development process. The “logical process” modeling methodology that has become the de facto standard for the PDES paradigm is dictated by the need to partition the simulation program for minimal processor synchronization. The authors prescribe a model-centric view as opposed to the current program-centric view of the simulation process in PDES. As a starting point, they provide four recommendations to reduce the disparity between PDES and prevailing discrete event simulation methodology. Overall, the paper is a worthy endeavor and was a pleasure to read. The authors provide a brief overview of the simulation process by presenting some fundamental questions and their answers. Throughout the paper, work by prominent researchers is cited. Researchers and practitioners in PDES must read this paper.

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Information & Contributors

Information

Published In

cover image ACM SIGSIM Simulation Digest
ACM SIGSIM Simulation Digest  Volume 24, Issue 1
July 1994
192 pages
ISSN:0163-6103
DOI:10.1145/195291
Issue’s Table of Contents
  • cover image ACM Conferences
    PADS '94: Proceedings of the eighth workshop on Parallel and distributed simulation
    August 1994
    196 pages
    ISBN:1565550277
    DOI:10.1145/182478

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 1994
Published in SIGSIM Volume 24, Issue 1

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Cited By

View all
  • (2016)Enhanced Null Message Algorithm for PDES with Diverse Event DensityTheory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems10.1007/978-981-10-2663-8_9(86-95)Online publication date: 22-Sep-2016
  • (1995)SimKitProceedings of the 27th conference on Winter simulation10.1145/224401.224714(706-713)Online publication date: 1-Dec-1995
  • (2015)A parallel cellular automata algorithm for the deterministic simulation of 3-D multicellular tissue growthCluster Computing10.1007/s10586-015-0455-718:4(1561-1579)Online publication date: 1-Dec-2015
  • (2013)Integration of a Visualization Solution with a 3-D Simulation Model for Tissue GrowthIntegrated Information and Computing Systems for Natural, Spatial, and Social Sciences10.4018/978-1-4666-2190-9.ch019(388-407)Online publication date: 2013
  • (2010)Guiding Simulation Model Verification by Model CheckingApplied Mechanics and Materials10.4028/www.scientific.net/AMM.44-47.350844-47(3508-3513)Online publication date: Dec-2010
  • (2009)Commercial-off-the-shelf simulation package interoperabilityWinter Simulation Conference10.5555/1995456.1995490(203-215)Online publication date: 13-Dec-2009
  • (2009)Commercial-Off-The-Shelf Simulation Package interoperability: Issues and futuresProceedings of the 2009 Winter Simulation Conference (WSC)10.1109/WSC.2009.5429326(203-215)Online publication date: Dec-2009
  • (2007)Code analysis and CS-XMLProceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come10.5555/1351542.1351681(756-761)Online publication date: 9-Dec-2007
  • (2007)Regular PaperInternational Journal of High Performance Computing Applications10.1177/109434200707487321:2(196-209)Online publication date: 1-May-2007
  • (2007)Code analysis and CS-XML2007 Winter Simulation Conference10.1109/WSC.2007.4419670(756-761)Online publication date: Dec-2007
  • Show More Cited By

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