随着分布式仿真规模的日益扩大,高性能并行计算技术的不断发展,并行与分布式仿真正逐渐成为新的研究热点。时间管理技术是决定并行与分布式仿真正确性和可重复性的关键技术,直接影响着仿真系统的整体性能。而TW乐观时间管理机制的许多思想和概念一直为现在各种算法所借鉴和沿用。文章建立了一个TW的性能分析模型,利用该模型对事件数量、平均回退长度、回退概率及其上限等进行了分析,分析结果对并行离散事件仿真系统的研发与改进具有一定的指导意义和参考价值。
With the progressive increase of the distributed simulation size and rapid development of the high pertbrmance computing technology, the parallel and distributed simulation is gradually becoming the new research focus. Time management mechanism is the one of the key technologies which determines the correctness and repeatability of the parallel and distributed simulation; furthermore it directly influences the holistic performance of the simulation system. Most of the ideas and concepts of Time-Warp optimistic time management mechanism continue to be used and referenced by current various algorithms. Finally, a performance analysis model for Time-Warp system was constructed, and the number of processed events, average rollback length, rollback probability and its upper bound were analyzed. The analysis results have instructive signification and reference value for the future research and enhancement of the PDES simulation system.