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Modeling and generating context-aware agent-based applications with amended colored Petri nets

机译:使用修正的有色Petri网建模和生成基于上下文感知的基于代理的应用程序

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Context-awareness is become more crucial in mobile distributed computing systems. However, sophisticated modeling methods to analyze context-aware systems are still very few. Among those, the Colored Petri Net (CPN) is promising because it is proven to be useful for modeling system dynamics and concurrency control in more efficient ways. However, to support managing multiple configurations of components of context-aware applications, some features need to be added to specialize the CPNs. To address these challenges, our research has two idea: (a) to decompose a system into several meaningful subsystems, each of which we will call a pattern, and (b) to separate context from the patterns to realize context-pattern independence. Hence, we propose a modeling methodology to represent and analyze a context-aware agent-based system, which tends to be highly complex. We introduce CPNs as a method of capturing the dynamics of this contextual change. We define CPNs and a way to apply them in context-aware agent-based systems. We also describe a prototype system that we have developed called CPN Generator, which translates CPN specification into Java programs.
机译:在移动分布式计算系统中,上下文感知变得越来越重要。但是,用于分析上下文感知系统的复杂建模方法仍然很少。其中,有色Petri网(CPN)很有前途,因为它已被证明可用于以更有效的方式对系统动力学和并发控制进行建模。但是,为了支持管理上下文感知应用程序组件的多种配置,需要添加一些功能来专门化CPN。为了应对这些挑战,我们的研究有两个想法:(a)将系统分解为几个有意义的子系统,我们将每个子系统称为一个模式;(b)将上下文与模式分离以实现上下文模式独立。因此,我们提出了一种建模方法来表示和分析基于上下文感知的基于代理的系统,该系统往往非常复杂。我们将CPN引入为捕获此上下文变化动态的方法。我们定义了CPN以及将其应用于基于上下文感知代理的系统中的方法。我们还将描述一个已开发的原型系统,称为CPN Generator,它将CPN规范转换为Java程序。

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