TY - GEN
T1 - The DEBS 2025 Grand Challenge
T2 - 19th ACM International Conference on Distributed and Event-Based Systems, DEBS 2025
AU - De Martini, Luca
AU - Tahir, Jawad
AU - Margara, Alessandro
AU - Doblander, Christoph
AU - Frischbier, Sebastian
AU - Mayer, Ruben
AU - Jacobsen, Hans Arno
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/6/9
Y1 - 2025/6/9
N2 - The DEBS 2025 Grand Challenge (GC) focuses on real-time defect detection in Laser Powder Bed Fusion (L-PBF) additive manufacturing. Participants must analyze streaming optical tomography images to identify temperature anomalies and cluster potential defects. The challenge defines a structured pipeline involving thresholding, temporal windowing, outlier analysis, and clustering. Solutions are evaluated using Challenger 2.1, a Kubernetes-based platform featuring REST APIs, containerized deployment, and fault-tolerance evaluations via Chaos Mesh. We also introduce Local-Challenger for local development and provide a Python reference implementation. Lastly, we report on the statistics of this year's GC. This edition of the GC advances the state-of-the-art in defect detection in manufacturing processes by fostering the development of high-performant, real-time, and fault-tolerant cloud-native solutions.
AB - The DEBS 2025 Grand Challenge (GC) focuses on real-time defect detection in Laser Powder Bed Fusion (L-PBF) additive manufacturing. Participants must analyze streaming optical tomography images to identify temperature anomalies and cluster potential defects. The challenge defines a structured pipeline involving thresholding, temporal windowing, outlier analysis, and clustering. Solutions are evaluated using Challenger 2.1, a Kubernetes-based platform featuring REST APIs, containerized deployment, and fault-tolerance evaluations via Chaos Mesh. We also introduce Local-Challenger for local development and provide a Python reference implementation. Lastly, we report on the statistics of this year's GC. This edition of the GC advances the state-of-the-art in defect detection in manufacturing processes by fostering the development of high-performant, real-time, and fault-tolerant cloud-native solutions.
KW - containerization
KW - data analytics
KW - fault tolerance
KW - performance benchmarking
KW - stream processing
UR - https://www.scopus.com/pages/publications/105013049385
U2 - 10.1145/3701717.3735578
DO - 10.1145/3701717.3735578
M3 - Conference contribution
AN - SCOPUS:105013049385
T3 - DEBS 2025 - Proceedings of the 19th ACM International Conference on Distributed and Event-Based Systems
SP - 223
EP - 228
BT - DEBS 2025 - Proceedings of the 19th ACM International Conference on Distributed and Event-Based Systems
PB - Association for Computing Machinery, Inc
Y2 - 10 June 2025 through 13 June 2025
ER -