Authors:
Matilde Silva
;
Pedro C. Diniz
and
Gil Gonçalves
Affiliation:
SYSTEC, Faculdade de Engenharia, Universidade do Porto, 4200-465 Porto, Portugal
Keyword(s):
Edge Computing, Fog Computing, Industrial Internet of Things (IIoT), Industry 4.0, Fault Tolerance, IEC 61499, Real-Time Data Processing.
Abstract:
In Industry 4.0 environments, video-based monitoring systems must now reconcile performance demands with the privacy mandates of the European Union’s (EU) General Data Protection Regulation (GDPR). This paper presents a fault-tolerant edge/fog architecture designed to anonymize visual data at the point of capture, minimizing personal data exposure while maintaining low-latency analytics. Built on the IEC 61499 standard, the system uses DINASORE to run Function Blocks directly on edge devices, and T-Sync as an orchestrator that dynamically reallocates tasks in response to topology changes. Empirical evaluations demonstrate that the architecture reliably recovers from node loss and stays within resource limits even on modest hardware. Despite bottlenecks under heavy vision workloads, the results show the viability of deploying GDPR-compliant IIoT pipelines without offloading sensitive data to the cloud.