分布交互仿真中组播过滤机制的一种自适应区域更新策略  

AN ADAPTIVE REGION UPDATING POLICY FOR MULTICAST BASED FILTERING SCHEME IN DISTRIBUTED INTERACTIVE SIMULATION

作　　者：史扬[1] 凌云翔[1] 金士尧[1] 张晨曦[1] 

机构地区：[1]国防科学技术大学计算机学院

出　　处：《计算机研究与发展》1999年第8期1000-1006,共7页Journal of Computer Research and Development

基　　金：国家自然科学基金

摘　　要：分布交互仿真具有有效性、经济性、可靠性、安全性等优点，在军事、工程、商业等领域有着广泛的应用前景．随着仿真应用在广度及深度上的发展，基于因特网的分布交互仿真成为未来的发展趋势，其面临的主要挑战是系统可扩缩性问题．采用数据过滤机制是解决系统可扩缩性的重要途径，在实现中过滤效率和过滤开销的平衡关系到过滤机制的整体性能．文中分析了制约系统可扩缩性的主要因素，从实现的观点出发提出了一个过滤机制的综合评判准则，并在此基础上提出了过滤机制的自适应区域更新策略，解决了过滤机制的过滤效率和开销平衡问题．Distributed interactive simulation has broad applications in various fields, such as military, engineering, commerce etc . because of its advantages of efficiency, economy, safety and security. Large scale distributed interactive simulation based on Internet is the future direction. But it faces the problem of system scalability because of its requirements for high network bandwidth and computation capacity, which is caused by redundant data when the system's scale increases. This situation can be alleviated to great extent by data filtering based on multicast. In this paper the key factors are analyzed, which limit the system scalability from the point of view of system resources and determine a criterion which can be used to evaluate the performance of a filtering scheme. Based on the above work, a new scheme called adaptive region updating algorithm is proposed to balance the filtering spending and filtering efficiency.

关 键 词：分布交互仿真 可扩缩性 数据过滤 组播通信 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]