[Paper] The PM-EdgeMap: Towards Real-Time Process Mining on the Edge-Cloud Continuum

Source: arXiv - 2606.12103v1

Overview

Smart factories are evolving into Cyber-Physical Systems (CPS), demanding increased autonomy. This necessitates real-time decision making, facilitated by insights derived from sensor data. Process mining offers a valuable approach to gain such insights and guide actions. The edge computing paradigm supports this real-time requirement by enabling network communication between sensors and leveraging nearby computing resources. This paper investigates the implications of performing real-time process mining algorithms on the edge. Within this paper, we first propose a formalism to describe relevant datasets and the computing topology. We then evaluate the edge computing approach through a case study involving an edge-based conformance checking algorithm. The results demonstrate the feasibility and benefits of edge-based real-time process mining for enhanced autonomous control in smart factories.

Key Contributions

This paper presents research in the following areas:

• cs.DC

Methodology

Please refer to the full paper for detailed methodology.

Practical Implications

This research contributes to the advancement of cs.DC.

Authors

• Hendrik Reiter
• Christian Imenkamp
• Olaf Landsiedel
• Andrea Maldonado
• Patrick Rathje
• Wilhelm Hasselbring

Paper Information

• arXiv ID: 2606.12103v1
• Categories: cs.DC
• Published: June 10, 2026
• PDF: Download PDF