分布式仿真中基于网格的数据管理

Gary S. H. Tan, R. Ayani, Yusong Zhang, F. Moradi
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引用次数: 52

摘要

高级体系结构(HLA)运行时基础设施(RTI)提供的数据分发管理(DDM)服务旨在通过仅向需要数据的联盟发送数据来提高数据通信的效率,这与分布式交互模拟(DIS)所采用的广播机制相反。文献中已经出现了几种DDM方法,包括基于类的、基于区域的和基于网格的。本文讨论了基于网格的DDM,并给出了一个开发和实现的仿真平台,用于研究基于网格的过滤对性能的影响。实验结果表明,网格单元大小的选择对分布式仿真的性能有很大的影响。最佳单元大小取决于应用程序和底层计算机系统的特性。在许多实际的模拟中,确定最佳的单元大小并不容易。我们的经验表明,在这种情况下,应该使用较大的单元格,而不是非常小的单元格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grid-based data management in distributed simulation
The data distribution management (DDM) service provided by the High Level Architecture (HLA) run-time infrastructure (RTI) 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 (DIS). 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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