• 论文 •    

基于云模型的数据分发管理

梅宏标,王坚   

  1. 1.同济大学 CIMS中心,上海201804;2.江西理工大学 应用科学学院机电系,江西赣州341000
  • 出版日期:2011-03-25 发布日期:2011-03-25

Cloud model for data distribution management

MEI Hong-biao, WANG Jian   

  1. 1.CIMS Center, Tongji University, Shanghai 201804, China;2.Department of Mechanics & Electricity, College of Applied Science, Jiangxi University of Science & Technology, Ganzhou 341000, China
  • Online:2011-03-25 Published:2011-03-25

摘要: 在兴趣层次管理研究的基础上,提出了基于云模型的数据分发管理策略。通过对限域的云化处理构建泛限域树,并通过泛限域树在发送方进一步对数据进行过滤,减小匹配的数据量,同时在匹配中引入哈希关联表进行云匹配,实现快速匹配。实验结果表明,该方法在保证匹配精度的前提下,可在仿真推进全过程中实现区域的快速匹配,保证联邦成员间的实时数据交换,并保障关键数据和传输的稳定性。

关键词: 数据分发管理, 云模型, 泛概念树, 兴趣层, 高层体系结构, 仿真, 过滤算法

Abstract: A strategy of data distribution management was put forward based on cloud model and interest layer management. Pan-extend trees were set up after extends were treated with cloud model. And data of senders was further filtered with these pan-extend trees, therefore matching data amount was reduced. Then, hash relation tables were introduced in order to realize rapid matching. Experiments showed that this new method could guarantee the regions be matched rapidly during simulation process while assuring matching precision. This new implementation method ensured real-time data exchange between federation members efficiently, and guaranteed critical data and transportation stability.

Key words: data distribution management, cloud model, pan-concept tree, interest layer, high level architecture, simulation, filtering algorithm

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