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基于关联规则的HLA动态数据分发策略 被引量:4

Dynamic Data Distribution Strategy of HLA Based on Association Rule
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摘要 针对HLA数据分发,提出了基于关联规则的动态数据分发策略,主要工作有:(1)提出基于关联规则的动态数据分发思想。(2)设计了描述仿真系统成员之间数据交互情况的发布订购树(PS-Tree)。(3)基于PS-Tree挖掘关联规则,实现动态数据分发策略。(4)给出动态数据分发策略性能的量化分析。实验结果说明动态数据分发策略通过提高组播资源利用率,有效实现了基于值的数据过滤,减少了冗余数据的发送与接收,从而提高仿真系统的实时性、稳定性。 To ensure the efficiency of data exchange between simulation members via multicast groups in the simulation system based on HLA, the method of dynamic data distribution strategy was proposed based on association rule. The main contributions include: (1) Proposing the concept of dynamic data distribution strategy of HLA based on association rule. (2) Proposing the structure of Publishing & Subscription Tree(PS-Tree), which can manifest the relationship of data exchange between simulation members. (3) Giving the method to mine association rules of the publishing & subscription records set via PS-Tree and forming the forwarding table which realizes the strategy and (4) Analyzing the performance of dynamic data distribution strategy. Experiment shows that the strategy improves the efficiency of data exchange because of the more efficient use of multicast groups resource.
出处 《系统仿真学报》 EI CAS CSCD 北大核心 2006年第12期3415-3420,共6页 Journal of System Simulation
基金 国家自然科学基金(60473071) 高等学校博士学科点专项科研基金SRFDP(20020610007) 四川省青创工程(2004AA0350)
关键词 高层体系结构 数据分发管理 关联规则挖掘 组播优化 HLA DDM association rule mining multicast optimizing
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