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Space-based communication data management in scalable distributed simulation

delete2002-03-01
delete15
PRE
AI
L
Lee, JS *
B
Bernard P. Zeigler
DOI:10.1006/jpdc.2001.1798delete
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Abstract

Abstract

En 中文
To execute complex large-scale simulation and to share geographically dispersed data assets and computing resources collaboratively, a large-scale distributed simulation is needed. To perform such distributed simulation with reasonable communication and computation resources, several message traffic reduction schemes have been proposed. In this paper, the space-based quantization scheme is introduced as a superior solution to reduce message traffic and network data transmission load. The space-based quantization is created by combining existing quantization-based filtering concepts with a spatial encounter monitoring scheme. We study the performance of space-based quantization schemes in centralized and distributed configurations operating on a test pursuer/evader federation withing the DEVS/HLA (discrete event simulation specification/high level architecture) distributed simulation environment. Empirical data illustrate the advantages of a distributed quantum-distribution scheme in reducing both message traffic and overall simulation execution time. (C) 2002 Elsevier Science (USA).
Keywords:
space-based quantization
distributed simulation
scalability and performance improvement
global and local space manager
direct filtering operation
concurrent processing

Journal

Journal of Parallel and Distributed Computing cover
Journal of Parallel and Distributed Computing
IF:
4
Papers:
3.8K
Citations:
4.8K

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