将过程交互世界观模型转换为DEVS: GPSS到(Python(P))DEVS

Randy Paredis, S. Mierlo, H. Vangheluwe
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引用次数: 0

摘要

离散事件建模和仿真语言可以根据它们的世界观进行分类:事件调度、活动扫描或流程交互。为了研究这些语言的语义,可以研究它们之间的关系,特别是不同世界观下语言之间的翻译模型。翻译方法还允许重用所有可用于目标语言的模拟工具。我们将Gordon在20世纪60年代早期开发的经典过程交互语言GPSS翻译为DEVS, DEVS是Zeigler在20世纪70年代后期开发的具有精确语义的模块化离散事件建模和仿真语言。我们指定并实现了一个翻译,为每个GPSS模型生成一个行为等效的DEVS模型。由于GPSS没有形式语义,因此没有等价性的证明。相反,我们描述了翻译的结构,从Gordon的非正式描述开始,围绕称为链的主要数据结构和扫描算法。我们为实现该语言的大多数工具中发现的具有代表性的GPSS块子集构建了一个工作原型。最后,我们通过将生成的DEVS模型的仿真结果与GPSS World模拟器获得的仿真结果进行比较,对平移进行了详尽的测试。GPSS World是一个流行的GPSS变体。我们还在制造领域的一个小但具有代表性的示例上演示了我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Translating Process Interaction World View Models to DEVS: GPSS to (Python(P))DEVS
Discrete-event modelling and simulation languages can be classified based on their world view: event scheduling, activity scanning, or process interaction. To study the semantics of these languages one may investigate the relationship between them, and in particular translate models between languages in different world views. A translation approach also lets one re-use all the simulation tooling available for the target language. We describe a translation of the classic process interaction language GPSS developed by Gordon in the early 1960s onto DEVS, a modular discrete-event modelling and simulation language with precise semantics developed by Zeigler in the late 1970s. We specify and implement a translation that produces, for each GPSS model, a behaviourally equivalent DEVS model. As GPSS has no formal semantics, there is no proof of equivalence. Rather, we describe the structure of the translation, starting from Gordon’s informal description, centered around the main data structures called chains and the scanning algorithm. We build a working prototype for a representative subset of GPSS blocks found in most tools implementing the language. Finally, we exhaustively test the translation by comparing simulation results of the generated DEVS model with a those obtained by the GPSS World simulator. GPSS World is a popular GPSS variant. We also demonstrate our approach on a small but representative example from the manufacturing domain.
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