Architectural optimizations to advanced distributed simulation

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Architectural optimizations to advanced distributed simulation

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Winter Simulation Conference archive
Proceedings of the 27th conference on Winter simulation table of contents

Arlington, Virginia, United States

Pages: 634 - 641

Year of Publication: 1995

ISBN:0-7803-3018-8

Authors

Larry Mellon	Science Applications Int. Corp., 4301 N. Fairfax Dr., Suite #370, Arlington, VA
Darrin West	Science Applications Int. Corp., 4301 N. Fairfax Dr., Suite #370, Arlington, VA

Sponsors

IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
INFORMS/CS : Computer Science TC
SIGSIM: ACM Special Interest Group on Simulation and Modeling

Publisher

IEEE Computer Society Washington, DC, USA

Bibliometrics

Downloads (6 Weeks): 1, Downloads (12 Months): 4, Citation Count: 3

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ABSTRACT

Current DoD mechanisms to support distributed simulations have reached their limits in terms of size and fidelity. Several projects are underway to improve the state of the art in the DoD, defining a new class of distributed simulation: advanced distributed simulation (ADS). This paper presents an architectural view of the problem area, i.e. identifying the conceptual objects in an ADS system, and describing their responsibilities and interactions. Classes of data transmission optimizations are identified and discussed in terms of scalability, flexibility, and current research efforts.

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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CITED BY 3

	William R. Merritt, Bounding CPU utilization as a part of the model design and the scenario design of a large-scale military training simulation, Proceedings of the 30th conference on Winter simulation, p.789-796, December 13-16, 1998, Washington, D.C., United States
	Farshad Moradi , Rassul Ayani, Parallel and distributed simulation, Applied system simulation: methodologies and applications, Kluwer Academic Publishers, Norwell, MA, 2003
	Aaron Mccoy , Tomas Ward , Seamus Mcloone , Declan Delaney, Multistep-ahead neural-network predictors for network traffic reduction in distributed interactive applications, ACM Transactions on Modeling and Computer Simulation (TOMACS), v.17 n.4, p.16-es, September 2007