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Parallel computation of the reachability graph of petri net models with semantic information

机译:具有语义信息的Petri网模型可达性图的并行计算

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Formal verification plays a crucial role when dealing with correctness of systems. In a previous work, the authors proposed a class of models, the Unary Resource Description Framework Petri Nets (U-RDF-PN), which integrated Petri nets and (RDF-based) semantic information. The work also proposed a model checking approach for the analysis of system behavioural properties that made use of the net reachability graph. Computing such a graph, specially when dealing with high-level structures as RDF graphs, is a very expensive task that must be considered. This paper describes the development of a parallel solution for the computation of the reachability graph of U-RDF-PN models. Besides that, the paper presents some experimental results when the tool was deployed in cluster and cloud frameworks. The results not only show the improvement in the total time required for computing the graph, but also the high scalability of the solution, which make it very useful thanks to the current (and future) availability of cloud infrastructures. Copyright (C) 2016 John Wiley & Sons, Ltd.
机译:在处理系统正确性时,形式验证起着至关重要的作用。在先前的工作中,作者提出了一类模型,即一元资源描述框架Petri网(U-RDF-PN),该模型集成了Petri网和(基于RDF的)语义信息。这项工作还提出了一种使用网络可达性图来分析系统行为特性的模型检查方法。计算这样的图,特别是在将高级结构作为RDF图处理时,是必须考虑的非常昂贵的任务。本文介绍了用于计算U-RDF-PN模型的可达性图的并行解决方案的开发。除此之外,本文还介绍了将该工具部署在集群和云框架中时的一些实验结果。结果不仅显示了计算图形所需的总时间的改善,而且还显示了该解决方案的高可伸缩性,这得益于云基础架构的当前(以及未来)可用性,该解决方案非常有用。版权所有(C)2016 John Wiley&Sons,Ltd.

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