想定驱动的仿真资源发现方法

摘要

In order to achieve automatic discovery of simulation resources in a SAC( Sharing Among Clouds) simulation environment, resource request description method and discovery algorithm were studied, and scenario driven resource discovery method was proposed. By using extended MSDL (Military Scenario Definition Language) as resource request scheme and DM&TF (Double Mapping and Triple Filtering) as resource discovery algorithm, resources for cloud simulation can be automatically discovered. Analysis showed scenario driven resource discovery method was able to automatically discover large numbers of resource needed for a simulation in pragmatic level, which is of great help for rapid configuration of simulation environment.%为解决在云间共享架构的仿真环境下资源的自动发现问题,研究了仿真资源请求的描述方法及相应的资源发现算法,提出了想定驱动的仿真资源发现方法.方法通过扩展的军事想定描述语言表示仿真资源请求,使用双映射三过滤算法实现仿真资源的自动发现.分析表明,仿真想定驱动的资源发现方法可以实现在云间共享架构下仿真运行所需的大量资源的自动发现,并对发现结果具有语用校验功能,对于仿真环境的快速部署具有积极意义.