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Workload management for cloud databases via machine learning.

, and . ICDE Workshops, page 27-30. IEEE Computer Society, (2016)

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OptMark: A Toolkit for Benchmarking Query Optimizers., , and . CIKM, page 2155-2160. ACM, (2016)Neo: A Learned Query Optimizer., , , , , , , and . CoRR, (2019)Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning., , , and . AIDB@VLDB, (2020)Dynamic Recommendations in Internet Retailing., , and . ECIS, page 368-379. (2001)AIDE: An Active Learning-Based Approach for Interactive Data Exploration., , and . IEEE Trans. Knowl. Data Eng., 28 (11): 2842-2856 (2016)SLA-driven workload management for cloud databases., and . ICDE Workshops, page 178-181. IEEE Computer Society, (2014)NashDB: An End-to-End Economic Method for Elastic Database Fragmentation, Replication, and Provisioning., , , and . SIGMOD Conference, page 1253-1267. ACM, (2018)Deep Reinforcement Learning for Join Order Enumeration., and . aiDM@SIGMOD, page 3:1-3:4. ACM, (2018)Query Steering for Interactive Data Exploration., , , , , , , and . CIDR, www.cidrdb.org, (2013)Performance prediction for concurrent database workloads., , , and . SIGMOD Conference, page 337-348. ACM, (2011)