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Enhancing Cloud Energy Models for Optimizing Datacenters Efficiency., , , and . ICCAC, page 93-100. IEEE Computer Society, (2015)Cuckoo: Opportunistic MapReduce on Ephemeral and Heterogeneous Cloud Resources., , , and . CLOUD, page 396-403. IEEE, (2019)Using Quantile Regression for Reclaiming Unused Cloud Resources While Achieving SLA., , , and . CloudCom, page 89-98. IEEE Computer Society, (2018)Investigating Machine Learning Algorithms for Modeling SSD I/O Performance for Container-Based Virtualization., , , and . IEEE Trans. Cloud Comput., 9 (3): 1103-1116 (2021)Seeking for the Optimal Energy Modelisation Accuracy to Allow Efficient Datacenter Optimizations., , , and . CCGrid, page 535-539. IEEE Computer Society, (2016)ReLeaSER: A Reinforcement Learning Strategy for Optimizing Utilization Of Ephemeral Cloud Resources., , , , and . CloudCom, page 65-73. IEEE, (2020)Leveraging cloud unused resources for Big data application while achieving SLA., , , , and . MASCOTS, page 429-430. IEEE Computer Society, (2019)RISCLESS: A Reinforcement Learning Strategy to Guarantee SLA on Cloud Ephemeral and Stable Resources., , , , , and . PDP, page 83-87. IEEE, (2022)RISCLESS: A Reinforcement Learning Strategy to Exploit Unused Cloud Resources., , , , , and . CoRR, (2022)Leveraging Cloud unused heterogeneous resources for applications with SLA guarantees. (Exploitation des ressources hétérogènes inutilisées du Cloud pour des applications avec garanties de qualité de service).. University of Rennes 1, France, (2020)