分布仿真中的兴趣管理研究进展

The Research Progress of Interest Management in Distributed Simulation

兴趣管理机制通过数据过滤和数据分发技术,使得仿真实体在仿真过程中能够获取计算所需的相关数据,又不会被与计算无关的报文所淹没,是提高分布仿真系统性能和扩展能力的关键技术。本文对目前采用的兴趣管理机制进行了回顾,分析了相应的特点,并结合当前的发展趋势,阐述了目前研究的热点。

Interest management is a key technology in improving the performance and scalability of distributed simulation. It ensures that the simulated entities have the relevant data they need during execution and avoid being flooded by irrelevant data by doing data filtering and data distribution. In this paper, the progress of the interest management mechanism is surveyed, and various implementations are described and evaluated. Also the current research focuses are mentioned according to current trends.