基于任务分解的作战仿真研究

大规模作战的仿真对仿真系统的计算能力和容错能力都提出了很高的要求,所以对大规模战争系统的仿真正在向分布式和并行计算方向发展。该文对大规模复杂战争仿真系统的研究涉及到的仿真任务分解、仿真计算资源的监测与管理、仿真任务负载的动态平衡和仿真任务的迁移等问题进行了阐述。提出了任务分解的三种策略,在任务分解的基础上,给出了实现大规模作战分布式仿真系统的初步结论和建议。

Study of Battle Simulation Based on Task Decomposition

Simulation of large scale battle requires high-powered computing power and fault-tolerance capability, so it has developed towards distributed simulation and parallel computing. The simulation task decomposition, inspection and management of computing resource, homeostasis of load and migration of simulation task were expatiated, that involved to the simulation of large scale battle. Three strategies of task decomposition were brought forward and the abecedarian conclusion and advice for implementing a simulation system of large scale battle were brought out based on task decomposition.