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

过程感知信息系统（Process Aware Information Systems，简称PAIS）是一种监控过程的软件系统，广义上讲，过程是指为实现某个目标而协调执行的过程。它们依赖于过程的显式表示，即过程模型。PAIS已在各种领域建立，如业务流程自动化或协作工作，它们在封闭环境中的运作也很好理解。然而，最近的趋势，如传感的数据和先进的系统集成要求的过程支持超出了传统的PAIS的界限。事件处理系统（EPS）收集、分析和响应事件，从而提供了一个基础设施，可以在面临大量数据的开放、不确定环境中运行。然而，他们的应用程序的过程感知系统尚未在文献中得到解决。如今，EPS以临时方式用于流程支持，导致事件处理的实现与支持的流程的无效分离。该项目将开发概念和算法，以推进用于过程支持的EPS的设计，分析和优化。因此，我们将为在面向流程的应用程序中使用事件处理技术奠定基础，这是一个新兴的研究领域。成功的初步工作的基础上，我们的目标是整合的正式方法的过程建模和事件处理和应用过程知识的定量分析和优化的EPS。该项目计划为期5年，涉及两名研究人员和一名研究小组组长。除了科学成果，该项目还将创建原型实现，以展示EPS的流程感知。

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.