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一种改进的基于网格的数据过滤方法(英文) 被引量：1

An improved data filteringalgorithm based on grid
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摘要 数据分发管理是HLA/RTI中的一项服务,在大规模的分布式仿真中用来管理状态更新和交互信息的分发,以此限制数据交换的总量.介绍目前数据分发管理的基本方法的基础上,分析了它们的优缺点,提出了一种基于网格的双层数据过滤方法.通过探测数据分布情况,利用双层网格精细过滤数据,减少冗余数据发送量.实验表明,在大规模和复杂环境下此方法具有更好的适应性、可扩展性和更高的性能. Data distribution management （DDM）is a high level architecture/run-time infrastructure（HLA/RTI）service that manages the distribution of state updates and interaction information in large-scale distributed simulations by limiting and controlling the volume of data exchanged.The grid-based approach DDM as well as its advantages and disadvantages was discussed,and an improved data filtering algorithm based on grid was proposed.Through detecting the distribution of data,the data was refined by the double-level grid to reduce the amount of redundant data.The simulation result shows that in large-scale or complicated situations the improved data filtering approach has better adaptability,scalability and performance.
作者 任文 傅忠谦
机构地区 中国科学技术大学电子科学与技术系
出处 《中国科学技术大学学报》 CAS CSCD 北大核心 2010年第11期1203-1210,共8页 JUSTC
基金 Supported by the third Innovation Project of Chinese Academic of Science(KGCX3-SYW-407-03)
关键词 高层体系结构 数据分发管理 数据过滤 过滤模版 HLA data distribution management data filtering filtering template
分类号 TP391.9 [自动化与计算机技术—计算机应用技术]
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参考文献15

  • 1US Department of Defense. High level architecture interface specification.. Version 1.3 [EB/OL]. 1998 [2009-03-20]. http://www, dmso. mil/.
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同被引文献14

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  • 10Pan K, Turner S J, Cai W T, et al. An efficient sort-based DDM matching algorithm for HLA applications with a large spatial environment [C]//Principles of Advanced and Distributed Simulation, San Diego ,2007:70 - 82.

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中国科学技术大学学报
2010年 第11期

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