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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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Formal Models for the Energy-Aware Cloud-Edge Computing Continuum: Analysis and Challenges., , and . SOSE, page 48-59. IEEE, (2023)An Intrusion Diagnosis Perspective on Cloud Computing., , and . Guide to e-Science, Springer, (2011)The 6G Computing Continuum (6GCC): Meeting the 6G computing challenges., , , , , , , , , and . 6GNet, page 1-5. IEEE, (2022)Invited Paper: Improving Data Center Efficiency Through Holistic Scheduling In Kubernetes., , , , , , and . SOSE, IEEE, (2019)Guest Editor's Introduction: Special Section on Virtualization and Services for Cloud-Based Application Systems., , and . IEEE Trans. Serv. Comput., 12 (1): 88-90 (2019)Automated Hyperparameter Tuning for Adaptive Cloud Workload Prediction., , , and . UCC, page 45. ACM, (2023)Errata to "Guest Editor's Introduction: Special Section on Virtualization and Services for Cloud-Based Application Systems"., , and . IEEE Trans. Serv. Comput., 12 (2): 335 (2019)Mitigate data skew caused stragglers through ImKP partition in MapReduce., , , , and . IPCCC, page 1-8. IEEE Computer Society, (2017)COGNIT: Challenges and Vision for a Serverless and Multi-Provider Cognitive Cloud-Edge Continuum., , , , , , , , , and 13 other author(s). EDGE, page 12-22. IEEE, (2023)When and How to Retrain Machine Learning-based Cloud Management Systems., , , and . IPDPS Workshops, page 688-698. IEEE, (2022)