Print Email Facebook Twitter Maintaining and Monitoring AIOps Models Against Concept Drift Title Maintaining and Monitoring AIOps Models Against Concept Drift Author Poenaru-Olaru, L. (TU Delft Software Engineering) Cruz, Luis (TU Delft Software Engineering) Rellermeyer, Jan S. (TU Delft Data-Intensive Systems; Leibniz Universität) van Deursen, A. (TU Delft Software Technology) Department Software Technology Date 2023 Abstract AIOps solutions enable faster discovery of failures in operational large-scale systems through machine learning models trained on operation data. These models become outdated during the occurrence of concept drift, a term used to describe shifts in data distributions. In operation data concept drift is inevitable and it impacts the performance of AIOps solutions over time. Therefore, concept drift should be closely monitored and immediate maintenance to prevent erroneous predictions is required. In this work, we propose an automated maintenance pipeline for AIOps models that monitors the occurrence of concept drift and chooses the most appropriate model retraining technique according to the drift type. Subject AIOpsconcept drift adaptationconcept drift detectionmachine learning model lifecycle To reference this document use: http://resolver.tudelft.nl/uuid:670a677a-f67e-476a-b9d3-fb75aaaf083e DOI https://doi.org/10.1109/CAIN58948.2023.00024 Publisher IEEE Embargo date 2024-01-15 ISBN 9798350301137 Source Proceedings - 2023 IEEE/ACM 2nd International Conference on AI Engineering - Software Engineering for AI, CAIN 2023 Event 2nd IEEE/ACM International Conference on AI Engineering - Software Engineering for AI, CAIN 2023, 2023-05-15 → 2023-05-16, Melbourne, Australia Series Proceedings - 2023 IEEE/ACM 2nd International Conference on AI Engineering - Software Engineering for AI, CAIN 2023 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2023 L. Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer, A. van Deursen Files PDF Maintaining_and_Monitorin ... _Drift.pdf 860.25 KB Close viewer /islandora/object/uuid:670a677a-f67e-476a-b9d3-fb75aaaf083e/datastream/OBJ/view