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dc.contributor.authorGkikopoulos, Panagiotis-
dc.contributor.authorSchiavoni, Valerio-
dc.contributor.authorSpillner, Josef-
dc.date.accessioned2023-02-06T09:26:11Z-
dc.date.available2023-02-06T09:26:11Z-
dc.date.issued2022-
dc.identifier.issn1045-9219de_CH
dc.identifier.issn1558-2183de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/26760-
dc.description.abstractAutonomic 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.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.relation.ispartofIEEE Transactions on Parallel and Distributed Systemsde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectMeasurementde_CH
dc.subjectSoftwarede_CH
dc.subjectDecision makingde_CH
dc.subjectSystem analysis and designde_CH
dc.subjectRedundancyde_CH
dc.subjectPeer-to-peer computingde_CH
dc.subjectData integrityde_CH
dc.subject.ddc004: Informatikde_CH
dc.titleDecentralised data quality control in ground truth production for autonomic decisionsde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.1109/TPDS.2022.3142967de_CH
zhaw.funding.euNode_CH
zhaw.issue10de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end2427de_CH
zhaw.pages.start2416de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume33de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedDistributed Systemsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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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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