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An Auto-Scaling Cloud Controller Using Fuzzy Q-Learning - Implementation in OpenStack.

, , , , and . ESOCC, volume 9846 of Lecture Notes in Computer Science, page 152-167. Springer, (2016)

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A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling., , , and . CCGrid, page 64-73. IEEE Computer Society / ACM, (2017)An Auto-Scaling Cloud Controller Using Fuzzy Q-Learning - Implementation in OpenStack., , , , and . ESOCC, volume 9846 of Lecture Notes in Computer Science, page 152-167. Springer, (2016)Fuzzy Self-Learning Controllers for Elasticity Management in Dynamic Cloud Architectures., , , , , and . QoSA, page 70-79. IEEE Computer Society, (2016)Multi-QoS constrained and Profit-aware scheduling approach for concurrent workflows on heterogeneous systems., and . Future Generation Comp. Syst., (2017)Deadline-Budget constrained Scheduling Algorithm for Scientific Workflows in a Cloud Environment., , and . OPODIS, volume 70 of LIPIcs, page 19:1-19:16. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, (2016)Budget Constrained Scheduling Strategies for On-line Workflow Applications., and . ICCSA (6), volume 8584 of Lecture Notes in Computer Science, page 532-545. Springer, (2014)Low-time complexity budget-deadline constrained workflow scheduling on heterogeneous resources., , and . Future Generation Comp. Syst., (2016)AutoPar-Clava: An Automatic Parallelization source-to-source tool for C code applications., , , and . PARMA-DITAM@HiPEAC, page 13-19. ACM, (2018)A Fuzzy Load Balancer for Adaptive Fault Tolerance Management in Cloud Platforms., , , , and . ESOCC, volume 10465 of Lecture Notes in Computer Science, page 109-124. Springer, (2017)Fairness Resource Sharing for Dynamic Workflow Scheduling on Heterogeneous Systems., and . ISPA, page 633-639. IEEE Computer Society, (2012)