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Published Articles >> Table of Contents >> Abstract
33rd Annual Simulation Symposium
p. 7
Grid-Based Data Management in Distributed Simulation
Gary Tan, National University of Singapore
Rassul Ayani, National University of Singapore
YuSong Zhang, National University of Singapore
Farshad Moradi, National University of Singapore
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SIMSYM.2000.844895
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| Abstract |
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The data distribution management (DDM) service provided by the High Level Architecture Run-time Infrastructure is aimed at making data communication more efficient by sending data only to those federates who need the data, as opposed to the broadcasting mechanism employed by Distributed Interactive Simulation. Several DDM methods, including class, region and grid-based, have appeared in the literature.This paper discusses grid-based DDM and presents a simulation platform developed and implemented for investigating the impact of grid-based filtering on performance. Our experimental results show that the choice of the grid-cell size has a substantial impact on the performance of distributed simulation. The optimal cell size depends on the characteristics of the application and the underlying computer system. In many practical simulations, it is not easy to determine the optimal cell size. Our experience indicates that in such a case, one should use larger cells rather than very small ones.
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Citation:
Gary Tan, Rassul Ayani, YuSong Zhang, Farshad Moradi,
"Grid-Based Data Management in Distributed Simulation,"
ss,
p. 7,
33rd Annual Simulation Symposium,
2000
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