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Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud.

, , , , , , and . Proc. VLDB Endow., 9 (13): 1245-1256 (2016)

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Towards Multi-tenant Performance SLOs., , , and . ICDE, page 702-713. IEEE Computer Society, (2012)Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless., , , , , , and . Proc. VLDB Endow., 15 (6): 1279-1287 (2022)Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database., , , , , , , and . ICDE, page 1111-1116. IEEE Computer Society, (2017)Towards Multi-Tenant Performance SLOs., , , and . IEEE Trans. Knowl. Data Eng., 26 (6): 1447-1463 (2014)SQL Azure as a Self-Managing Database Service: Lessons Learned and Challenges Ahead., , , , and . IEEE Data Eng. Bull., 34 (4): 61-70 (2011)Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud., , , , , , and . Proc. VLDB Endow., 9 (13): 1245-1256 (2016)Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation., , , , , , , , , and 16 other author(s). Proc. VLDB Endow., 14 (2): 154-162 (2020)Tenant Placement in Over-subscribed Database-as-a-Service Clusters., , , , , , , and . Proc. VLDB Endow., 15 (11): 2559-2571 (2022)Flexible Resource Allocation for Relational Database-as-a-Service., , , , , , , , , and 13 other author(s). Proc. VLDB Endow., 16 (13): 4202-4215 (2023)Adapting microsoft SQL server for cloud computing., , , , , , , , , and . ICDE, page 1255-1263. IEEE Computer Society, (2011)