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Deriving Feasible Deployment Alternatives for Parallel and Distributed Simulation Systems

机译:推导并行和分布式仿真系统的可行部署选择

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Parallel and distributed simulations (PADS) realize the distributed execution of a simulation system over multiple physical resources. To realize the execution of PADS, different simulation infrastructures such as HLA, DIS and TENA have been defined. Recently, the Distributed Simulation Engineering and Execution Process (DSEEP) that supports the mapping of the simulations on the infrastructures has been defined. An important recommended task in DSEEP is the evaluation of the performance of the simulation systems at the design phase. In general, the performance of a simulation is largely influenced by the allocation of member applications to the resources. Usually, the deployment of the applications to the resources can be done in many different ways. DSEEP does not provide a concrete approach for evaluating the deployment alternatives. Moreover, current approaches that can be used for realizing various DSEEP activities do not yet provide adequate support for this purpose. We provide a concrete approach for deriving feasible deployment alternatives based on the simulation system and the available resources. In the approach, first the simulation components and the resources are designed. The design is used to define alternative execution configurations, and based on the design and the execution configuration; a feasible deployment alternative can be algorithmically derived. Tool support is developed for the simulation design, the execution configuration definition and the automatic generation of feasible deployment alternatives. The approach has been applied within a large-scale industrial case study for simulating Electronic Warfare systems.
机译:并行和分布式仿真(PADS)可在多个物理资源上实现仿真系统的分布式执行。为了实现PADS的执行,已定义了不同的仿真基础结构,例如HLA,DIS和TENA。最近,已经定义了支持仿真在基础结构上映射的分布式仿真工程和执行过程(DSEEP)。 DSEEP中推荐的一项重要任务是在设计阶段评估仿真系统的性能。通常,模拟的性能在很大程度上受成员应用程序对资源分配的影响。通常,可以通过许多不同方式将应用程序部署到资源。 DSEEP没有提供评估部署替代方案的具体方法。此外,可用于实现各种DSEEP活动的当前方法尚未为此目的提供足够的支持。我们提供了一种基于仿真系统和可用资源来推导可行的部署替代方案的具体方法。在这种方法中,首先要设计仿真组件和资源。该设计用于定义备选执行配置,并基于设计和执行配置;可行的部署替代方案可以通过算法得出。为仿真设计,执行配置定义和自动生成可行的部署替代方案开发了工具支持。该方法已在大规模工业案例研究中应用于模拟电子战系统。

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