基于权重函数的混合DDM算法  

Hybrid DDM algorithm based on weight function

作　　者：张贵生[1] 张霞[1] 李德玉[1] 

机构地区：[1]山西大学计算机与信息技术学院计算智能与中文信息处理教育部重点实验室,山西太原030006

出　　处：《计算机工程与设计》2008年第4期797-799,990,共4页Computer Engineering and Design

基　　金：国家自然科学基金项目(60573074);山西省自然科学基金项目(20041040)

摘　　要：高层体系结构已成为分布式仿真通用技术框架的核心,其中数据分发管理服务则为其提供了有效的数据过滤机制。目前常用的几种DDM算法,如基于区域的算法、基于网格的算法和简单混合的算法(基于网格的DDM和基于区域的DDM混合使用)等都存在着一些不足。基于权重函数的混合DDM算法是在简单混合的DDM算法基础上加入了对路经空间中所划分网格的权重函数设立机制和对冗余信息、虚假信息的控制机制。实验结果表明,该算法在减少算法执行时间,尤其是降低网络中的数据传输量和减少组播地址消耗方面,体现出良好的性能,进一步满足了系统的可扩缩性要求。HLA has become the focus of distributed interactive simulation＇s general technology frame. Data distribution management, one of the six services, provides data filtering mechanism to meet the requirements of system scalability. Currently, there are several main DDM filtering algorithms. Since each approach still has some shortcomings, a hybrid DDM method is introduced based on weight function by which the redundant and false information is reduced greatly. Simulation experiments show that usually the weight functionbased hybrid algorithm has the best performance among all approaches, especially on reducing the amount of data transformation and multicast address. It has achieved the goal of improving DDM.

关 键 词：高层体系结构 数据分发管理 权重函数 混合DDM算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]