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Uncovering DEVS Simulation Behaviour Throughout The Open Provenance Model

机译:在整个开放源模型中发现DEVS仿真行为

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摘要

DEVS models are getting to be more and more sophisticated due to large scale objectives such as modeling complex physical continuous systems. The assurance of the validity and quality of simulation data handling and analysis may lead to a great challenge. Thus, a need of providing insight of DEVS simulation performance can arise. In particular, information about simulation processes workflow and internal data values and management. Provenance-aware systems are designed to satisfy those needs by documenting processes and casual dependencies. Provenance is a critical concept in scientific workflows, since it allows scientists to understand the origin of their results, to repeat their experiments, and to validate the processes that were used to derive data products. Recently, the provenance community agreed that a "Provenance Challenge" should be set to compare and understand existing approaches and updated the Open Provenance Model (OPM). We introduce provenance documentation technology to uncover DEVS models behaviours during a simulation. In addition, we apply the OPM formalization due to interoperability reasons and provide support to the Third Provenance Challenge.
机译:由于对复杂的物理连续系统进行建模等大型目标,DEVS模型变得越来越复杂。确保仿真数据处理和分析的有效性和质量可能会带来巨大挑战。因此,可能需要提供对DEVS仿真性能的了解。特别是,有关仿真的信息会处理工作流以及内部数据值和管理。起源感知系统旨在通过记录过程和临时依赖关系来满足这些需求。来源是科学工作流程中的一个关键概念,因为它使科学家能够了解其结果的来源,重复他们的实验并验证用于导出数据产品的过程。最近,出处社区同意应该设置“出处挑战”以比较和理解现有方法,并更新了开放出处模型(OPM)。我们引入了源文件记录技术,以发现仿真期间的DEVS模型行为。此外,由于互操作性的原因,我们将OPM形式化,并为“第三种来源挑战”提供支持。

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