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Patience-Aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom.

, , , , and . ICSOC, volume 8274 of Lecture Notes in Computer Science, page 550-557. Springer, (2013)

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Patience-Aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom., , , , and . ICSOC, volume 8274 of Lecture Notes in Computer Science, page 550-557. Springer, (2013)On the Impact of MDP Design for Reinforcement Learning Agents in Resource Management., and . BRACIS (1), volume 13073 of Lecture Notes in Computer Science, page 79-93. Springer, (2021)Helping HPC Users Specify Job Memory Requirements via Machine Learning., , , and . HUST@SC, page 6-13. IEEE Computer Society, (2016)An SMDP approach for Reinforcement Learning in HPC cluster schedulers., and . Future Gener. Comput. Syst., (2023)A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast., , and . eScience, page 423-430. IEEE Computer Society, (2018)Evaluating Auto-scaling Strategies for Cloud Computing Environments., , , and . MASCOTS, page 187-196. IEEE Computer Society, (2014)JobPruner: A machine learning assistant for exploring parameter spaces in HPC applications., , and . Future Gener. Comput. Syst., (2018)Towards a common environment for learning scheduling algorithms., and . MASCOTS, page 1-8. IEEE, (2020)An Argument in Favor of Strong Scaling for Deep Neural Networks with Small Datasets., , , and . SBAC-PAD, page 306-313. IEEE, (2018)SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments., , and . WORKS@SC, volume 1800 of CEUR Workshop Proceedings, page 4-14. CEUR-WS.org, (2016)