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Proactive Resource Allocation Policy for Microsoft Azure Cognitive Search., , , and . SIGMOD Rec., 52 (3): 41-48 (September 2023)Unshackling Database Benchmarking from Synthetic Workloads., , , , , , and . ICDE, page 3659-3662. IEEE, (2023)Sibyl: Forecasting Time-Evolving Query Workloads., , , , , , , , and . Proc. ACM Manag. Data, 2 (1): 53:1-53:27 (February 2024)Incorporating Super-Operators in Big-Data Query Optimizers., and . Proc. VLDB Endow., 13 (3): 348-361 (2019)RQ-RDF-3X: Going beyond triplestores., and . ICDE Workshops, page 263-268. IEEE Computer Society, (2014)INSTalytics: Cluster Filesystem Co-design for Big-data Analytics., , , , , , and . FAST, page 235-248. USENIX Association, (2019)Production Experiences from Computation Reuse at Microsoft., , , , , and . EDBT, page 623-634. OpenProceedings.org, (2021)Quark-X: An Efficient Top-K Processing Framework for RDF Quad Stores., , , and . CIKM, page 831-840. ACM, (2016)Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML., , , , , , , , , and 12 other author(s). CIDR, www.cidrdb.org, (2020)Towards Building Autonomous Data Services on Azure., , , , , , , , , and 28 other author(s). SIGMOD Conference Companion, page 217-224. ACM, (2023)