8 papers
The PM-EdgeMap: Towards Real-Time Process Mining on the Edge-Cloud Continuum
Hendrik Reiter, Christian Imenkamp, Olaf Landsiedel +3
Smart factories are evolving into Cyber-Physical Systems (CPS), demanding increased autonomy. This necessitates real-time decision making, facilitated by insights derived from sens…
Know Your Streams: On the Conceptualization, Characterization, and Generation of Intentional Event Streams
Andrea Maldonado, Christian Imenkamp, Hendrik Reiter +4
The shift toward IoT-enabled, sensor-driven systems has transformed how operational data is generated, favoring continuous, real-time event streams (ES) over static event logs. Thi…
AVOCADO: The Streaming Process Mining Challenge
Christian Imenkamp, Andrea Maldonado, Hendrik Reiter +4
Streaming process mining deals with the real-time analysis of streaming data. Event streams require algorithms capable of processing data incrementally. To systematically address t…
ContinuumConductor : Decentralized Process Mining on the Edge-Cloud Continuum
Hendrik Reiter, Janick Edinger, Martin Kabierski +10
Process mining traditionally assumes centralized event data collection and analysis. However, modern Industrial Internet of Things systems increasingly operate over distributed, re…
Determining Window Sizes using Species Estimation for Accurate Process Mining over Streams
Christian Imenkamp, Martin Kabierski, Hendrik Reiter +3
Streaming process mining deals with the real-time analysis of event streams. A common approach for it is to adopt windowing mechanisms that select event data from a stream for subs…
Ecoscape: Fault Tolerance Benchmark for Adaptive Remediation Strategies in Real-Time Edge ML
Hendrik Reiter, Ahmad Rzgar Hamid, Florian Schlösser +2
Edge computing offers significant advantages for realtime data processing tasks, such as object recognition, by reducing network latency and bandwidth usage. However, edge environm…