并行离散事件仿真中模型互操作技术及优化

Optimizing Model Interoperability in Parallel Discrete Event Simulation

模型互操作技术允许单独开发的仿真模型在一个集成的仿真环境中互操作,是基于HLA标准的分布式仿真系统中的一项关键技术。并行离散事件仿真(PDES)技术也使用对象模型来表示真实世界中的实体,这些实体模型也有互操作和重用的需要。我们在PDES环境KD-PADSE中开发了一种基于对象和事件的模型互操作机制,它使用对象代理技术为PDES系统提供了与HLA中类似的对象模型的"公布"和"定购"操作。并且,我们对该机制进行了优化以支持类集群环境的PDES运行。初步性能实验显示,在集群环境中,优化后的DDM性能比未优化前最高可以提高12倍。

Model interoperability enables independently developed models to interoperate with each other and has been a key technology in HLA-based distributed simulation systems. Parallel Discrete Event Simulation （PDES） also uses object models to represent real world entities thus it can also benefit from adopting a model interoperability mechanism. The work developed a model interoperability layer in KD-PADSE, a PDES environment, by conforming to its event-object paradigm. The model interoperability layer used a proxy-based approach to enable object models in a PDES to ＂publish＂ and ＂subscribe＂ their attributes similar to mechanisms in HLA. Especially, this design was optimized for executing in cluster-like environment. Preliminary performance tests show that the optimization improves Data Distribution Management performance up to 12 times in a cluster environment compared with unoptimized design.