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Space-based communication data management in scalable distributed simulation
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AI
DOI：10.1006/jpdc.2001.1798.png)
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摘要
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).
Keyword:
space-based quantization
distributed simulation
scalability and performance improvement
global and local space manager
direct filtering operation
concurrent processing
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