首页> 外文会议>Symposium on Theory of Modeling Simulation - DEVS Integrative MS Symposium >Uncovering DEVS Simulation Behaviour Throughout The Open Provenance Model
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Uncovering DEVS Simulation Behaviour Throughout The Open Provenance Model

机译:在整个开放源模型中揭开DEVS仿真行为

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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:由于诸如建模复杂的物理连续系统,因此,DEVS模型越来越复杂。对仿真数据处理和分析的有效性和质量的保证可能导致挑战。因此,可能会出现提供对DEVS仿真性能的识别的需求。特别地,有关模拟过程的信息处理工作流程和内部数据值和管理。旨在通过记录流程和休闲依赖性来满足这些需求的来源感知系统。来源是科学工作流程的关键概念,因为它允许科学家了解他们的结果的起源,重复他们的实验,并验证用于推导数据产品的过程。最近,掩散界同意,应设立“出处挑战”,以比较和了解现有的方法和更新开放的出处模型(OPM)。我们在仿真过程中介绍了分解文件技术以发现DEVS模型行为。此外,由于互操作性原因,我们将OPM形式应用,并为第三个出处挑战提供支持。

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