Decentralised data quality control in ground truth production for autonomic decisions

Gkikopoulos, Panagiotis; Schiavoni, Valerio; Spillner, Josef

doi:10.1109/TPDS.2022.3142967

Publication type:	Article in scientific journal
Type of review:	Peer review (publication)
Title:	Decentralised data quality control in ground truth production for autonomic decisions
Authors:	Gkikopoulos, Panagiotis Schiavoni, Valerio Spillner, Josef
et. al:	No
DOI:	10.1109/TPDS.2022.3142967
Published in:	IEEE Transactions on Parallel and Distributed Systems
Volume(Issue):	33
Issue:	10
Page(s):	2416
Pages to:	2427
Issue Date:	2022
Publisher / Ed. Institution:	IEEE
ISSN:	1045-9219 1558-2183
Language:	English
Subjects:	Measurement; Software; Decision making; System analysis and design; Redundancy; Peer-to-peer computing; Data integrity
Subject (DDC):	004: Computer science
Abstract:	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
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Computer Science (InIT)
Appears in collections:	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.