JRG/2: Process-Awareness of Event-Driven Systems: Model, Analysis and Optimisation

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 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 event-processing 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.

Principal investigators
Weidlich, Matthias Prof. Dr. (Details) (Process-Driven Architectures)

Participating organisational units of HU Berlin

DFG: Nachwuchsgruppe

Duration of project
Start date: 04/2018
End date: 12/2019

Research Areas
Operating, Communication, Database and Distributed Systems, Software Engineering and Programming Languages

Research Areas
Data Science, Digitization/Digitalisierung, Informatik

Last updated on 2022-08-09 at 23:07