Reiter, Hendrik, Imenkamp, Christian, Koschmider, Agnes and Hasselbring, Wilhelm (2024) Distributed Event Factory: A Tool for Generating Event Streams on Distributed Data Sources. [Paper] In: 6th International Conference on Process Mining. , October 15, 2024, Copenhagen, Denmark . ICPM Doctoral Consortium and Demo Track 2024. . Workshop Proceedings, 3783 .

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Abstract

In real-life applications, data sources are often distributed. In a smart factory, data is generated by spatially distributed sensors. Distributed process mining algorithms may exploit this data locality by processing data where it is generated. The Distributed Event Factory is a tool to evaluate distributed process mining algorithms under (best-effort) realistic conditions. It generates synthetic event treams that consider the distributed nature of the data sources. In particular, we can evaluate the scalability of such algorithms by increasing the volume and velocity of the generated events. Additionally, other external factors such the temporal behavior of events, and varying load profiles can be configured. Using the example of a smart factory, we demonstrate the tool’s capabilities.

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