| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Decentralised data quality control in ground truth production for autonomic decisions |
| Autor/-in: | Gkikopoulos, Panagiotis Schiavoni, Valerio Spillner, Josef |
| et. al: | No |
| DOI: | 10.1109/TPDS.2022.3142967 |
| Erschienen in: | IEEE Transactions on Parallel and Distributed Systems |
| Band(Heft): | 33 |
| Heft: | 10 |
| Seite(n): | 2416 |
| Seiten bis: | 2427 |
| Erscheinungsdatum: | 2022 |
| Verlag / Hrsg. Institution: | IEEE |
| ISSN: | 1045-9219 1558-2183 |
| Sprache: | Englisch |
| Schlagwörter: | Measurement; Software; Decision making; System analysis and design; Redundancy; Peer-to-peer computing; Data integrity |
| Fachgebiet (DDC): | 004: Informatik |
| Zusammenfassung: | Autonomic decision-making based on rules and metrics is inevitably on the rise in distributed software systems. Often, the metrics are acquired from system observations such as static checks and runtime traces. To avoid bias propagation and hence reduce wrong decisions in increasingly autonomous systems due to poor observation data quality, multiple independent observers can exchange their findings and produce a majority-accepted, complete and outlier-cleaned ground truth in the form of consensus-supported metrics. In this work, we motivate the growing importance of metrics for informed and autonomic decisions in clouds and other distributed systems, present reasons for diverging observations, and describe a federated approach to produce ground truth with data-centric consensus voting for more reliable decision making processes. We validate the system design with experiments in the area of cloud software artefact observations and highlight benefits for reproducible distributed system behaviour. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/26760 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Informatik (InIT) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
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Gkikopoulos, P., Schiavoni, V., & Spillner, J. (2022). Decentralised data quality control in ground truth production for autonomic decisions. IEEE Transactions on Parallel and Distributed Systems, 33(10), 2416–2427. https://doi.org/10.1109/TPDS.2022.3142967
Gkikopoulos, P., Schiavoni, V. and Spillner, J. (2022) ‘Decentralised data quality control in ground truth production for autonomic decisions’, IEEE Transactions on Parallel and Distributed Systems, 33(10), pp. 2416–2427. Available at: https://doi.org/10.1109/TPDS.2022.3142967.
P. Gkikopoulos, V. Schiavoni, and J. Spillner, “Decentralised data quality control in ground truth production for autonomic decisions,” IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 10, pp. 2416–2427, 2022, doi: 10.1109/TPDS.2022.3142967.
GKIKOPOULOS, Panagiotis, Valerio SCHIAVONI und Josef SPILLNER, 2022. Decentralised data quality control in ground truth production for autonomic decisions. IEEE Transactions on Parallel and Distributed Systems. 2022. Bd. 33, Nr. 10, S. 2416–2427. DOI 10.1109/TPDS.2022.3142967
Gkikopoulos, Panagiotis, Valerio Schiavoni, and Josef Spillner. 2022. “Decentralised Data Quality Control in Ground Truth Production for Autonomic Decisions.” IEEE Transactions on Parallel and Distributed Systems 33 (10): 2416–27. https://doi.org/10.1109/TPDS.2022.3142967.
Gkikopoulos, Panagiotis, et al. “Decentralised Data Quality Control in Ground Truth Production for Autonomic Decisions.” IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 10, 2022, pp. 2416–27, https://doi.org/10.1109/TPDS.2022.3142967.
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