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Modeling and Formal Analysis of Probabilistic Complex Event Processing (CEP) Applications

机译:概率复杂事件处理(CEP)应用程序的建模和形式分析

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Complex Event Processing (CEP) is a powerful technology used in complex and real-time environments. CEP is an Event Driven Architecture (EDA) style consists of processing different events within the distributed enterprise system attempting to discover interesting information from multiple streams of events in timely manner. In real world, the streams of events are uncertain, which means that is not guaranteed that an event has actually occurred, this uncertainty is due mainly to imprecise content from the event sources (Sensors, RFID,...). As a result, probabilistic CEP has become an important issue in complex environments that require a real-time reaction given streams of probabilistic events. It is evident that building probabilistic CEP applications is not a trivial task, which makes the description of these applications and the analysis of their behavior a necessary task. In this paper, we propose a formal verification approach for probabilistic CEP applications based on probabilistic model checking. To this end, we use the probabilistic Timed Automata (PTA) for describing the probabilistic CEP applications, and the Probabilistic Timed CTL (PTCTL) logic for specifying probabilistic timed properties.
机译:复杂事件处理(CEP)是在复杂和实时环境中使用的强大技术。 CEP是一种事件驱动架构(EDA)样式,包括处理分布式企业系统中的不同事件,以试图从多个事件流中及时发现有趣的信息。在现实世界中,事件的流是不确定的,这意味着不能保证确实发生了事件,这种不确定性主要是由于事件源(传感器,RFID等)的内容不准确所致。结果,概率CEP已成为复杂环境中的重要问题,复杂环境需要在给定概率事件流的情况下进行实时反应。显然,构建概率CEP应用程序不是一件容易的事,这使得对这些应用程序的描述以及对其行为的分析成为必要的任务。在本文中,我们提出了一种基于概率模型检查的概率CEP应用程序的形式验证方法。为此,我们使用概率定时自动机(PTA)来描述概率CEP应用程序,并使用概率定时CTL(PTCTL)逻辑来指定概率定时属性。

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