Process-Awareness of Event-Driven Systems: Model, Analysis and Optimisation

过程感知信息系统（PAIS）是监视和控制过程的软件系统，广义上定义为朝着特定目标协调执行的行动。它们依赖于流程的显式表示，即流程模型。PAIS已经建立在各种领域中，例如业务流程自动化或协作工作，并且它们在封闭环境中的操作很容易理解。然而，最近的趋势，如数据感知和推进系统集成，要求超越传统PAIS边界的过程支持。事件处理系统（EPS）收集、分析事件并对事件作出反应，从而提供在面对大量数据的开放、不确定环境中运行的基础设施。然而，它们作为过程感知系统的应用尚未在文献中得到解决。目前，EPS以一种特别的方式用于流程支持，导致事件处理的实现与受支持的流程无法有效解耦。该项目将开发概念和算法，以推进用于工艺支持的EPS的设计、分析和优化。因此，我们将为在面向过程的应用中使用事件处理技术奠定基础，这是一个新兴的研究领域。基于成功的初步工作，我们的目标是整合过程建模和事件处理的形式化方法，并将过程知识应用于EPS的定量分析和优化。本课题计划5年，研究人员2人，课题组组长1人。除了科学成果外，该项目还将创建原型实现，以展示EPS的过程意识。

Process-aware information systems (PAIS) are software systems that monitor and control a process, broadly defined as the coordinated execution of actions towards a certain goal. They rely on an explicit representation of the process, a process model. PAIS have been established in various domains, such as business process automation or collaborative work, and their operation in closed environments is well understood. However, recent trends such as sensing of data and advancing system integration call for process support beyond the boundaries of traditional PAIS. Event processing systems (EPS) collect, analyse, and react to events, thereby providing an infrastructure to operate in open, uncertain environments faced with large amounts of data. Yet, their application as process-aware systems has not been addressed in the literature. Today, EPS are used for process support in an ad-hoc fashion leading to an ineffective decoupling of the implementation of event-processing from the supported process. This project will develop concepts and algorithms that advance the design, analysis, and optimisation of EPS used for process support. As such, we will lay the foundations for using eventprocessing technology in process-oriented applications, an emerging field of research. Based on successful preliminary work, we target the integration of formal methods for process modelling and event processing and the application of process knowledge for quantitative analysis and optimisation of an EPS. The project is planned for 5 years involving two research staff and a research group leader. Besides the scientific results, the project will create prototypical implementations to showcase process-awareness of EPS.