基于HLA的分布式数据收集技术

Research on HLA-based Distributed Data Collection Techniques

数据收集是仿真结果分析与评估的基础。针对基于HLA的大规模仿真数据完整收集这一难点问题,分析了HLA系统分布式数据收集问题的特征,给出了分布式数据收集系统框架,包括系统结构及运行过程模型;进而提出了动静态相结合的数据收集任务调度方法,包括运行前的基于归一化算法的静态任务分配方法、运行时的动态调度过程及其关键算法;最后进行测试实验,实验结果验证了所提出的分布式数据收集方法的必要性和有效性。

Issues relating to complete collection of large-scale HLA-based simulation data were discussed. Firstly the characteristics of HLA-based distributed data collection were analyzed, and the framework of a distributed data collection system was designed, including the system structure and the process model. Then the data collection task scheduling methods were presented based on the idea of dy- namic and static combination, including the pre-operation static task assignment method and the runtime dynamic scheduling process with its key algorithms. Finally, experiments were performed and the distributed data collection methods were validated.