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When and How to Retrain Machine Learning-based Cloud Management Systems.

, , , and . IPDPS Workshops, page 688-698. IEEE, (2022)

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Performance Anomaly Detection Using Datacenter Landscape Graphs., , , and . ACIT/CSII/BCD, page 295-302. IEEE, (2017)INTEND: Intent-Based Data Operation in the Computing Continuum., , , , , , , , , and 22 other author(s). CAiSE Research Projects Exhibition, volume 3692 of CEUR Workshop Proceedings, page 43-50. CEUR-WS.org, (2024)Real-time detection of performance anomalies for cloud services., , and . IWQoS, page 1-2. IEEE, (2016)Automated Hyperparameter Tuning for Adaptive Cloud Workload Prediction., , , and . UCC, page 45. ACM, (2023)Utility-Driven Deployment Decision Making., , , and . UCC, page 207-208. ACM, (2017)Autonomous Lifecycle Management for Resource-Efficient Workload Orchestration for Green Edge Computing., , , , , , , , , and . IEEE Trans. Green Commun. Netw., 6 (1): 571-582 (2022)FluidCloud: An Open Framework for Relocation of Cloud Services., , , , , and . HotCloud, USENIX Association, (2013)When and How to Retrain Machine Learning-based Cloud Management Systems., , , and . IPDPS Workshops, page 688-698. IEEE, (2022)SLAaaS: an OCCI Compliant Framework for Cloud SLA Provisioning and Violation Detection., , and . CLOSER (2), page 355-362. SciTePress, (2016)978-989-758-182-3.A Hybrid Fitness-Utility Algorithm for Improved Service Chain Placement., , , and . GLOBECOM, page 1-7. IEEE, (2018)