大型分布交互式仿真系统的DDM策略研究

Study on DDM Approach for Large-scale Distributed Interactive Simulation System

分布交互式仿真是未来仿真技术发展的方向。大型分布交互式仿真应用具有仿真实体数目较大、实体间信息交互频繁等特点,而分布仿真应用基于的网络带宽资源又十分有限,因此如何降低网络冗余数据,充分利用网络带宽资源以提高网络上的有效数据的传输效率成为一个重要的研究方向。数据分发管理DDM的目标是滤除仿真运行中网络上的无用数据,减少网络上的数据。文中简单地介绍了HLA的基本思想,阐述了路径空间的概念,并结合多目组通讯技术,描述了几种实用的DDM策略,比较了它们的异同点,为选用合适的数据滤除方法管理大型分布仿真的大规模数据提供了依据。

Distributed interactive simulation is the trend of the development of simulation technology. Large distributed interactive simulation application has the characteristic of involving a large number of simulation entities and frequent interaction, while the bandwidth resource of the network is limited. Therefore, how to reduce the redundant data in the network and utilize the bandwidth resource to improve the transmission efficiency of the available data in the network has become an important research point. Data Distributed Management （DDM） aims to filter the useless data in the running simulation and reduce the data in the network. In the paper, the basic idea of HLA is explained, the concept of routing space is presented, various DDM methods based on Muhicast communication technology are defined and described and the similarities and differences are compared in DDM methods. These methods offer a base to choose proper data filtering approaches to manage the large data for large - scale distributed simulations.