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Empirical evaluation of multi-level buffer cache collaboration for storage systems.

, , , , and . SIGMETRICS, page 145-156. ACM, (2005)

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Benchmarking SQL-on-Hadoop Systems: TPC or Not TPC?, , and . WBDB, volume 8991 of Lecture Notes in Computer Science, page 63-72. Springer, (2014)Designing a high performance cluster for large-scale SQL-on-hadoop analytics., , , , , , , and . IEEE BigData, page 1701-1703. IEEE Computer Society, (2017)SparkBench - A Spark Performance Testing Suite., , , , , , , , , and . TPCTC, volume 9508 of Lecture Notes in Computer Science, page 26-44. Springer, (2015)Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration., , , , , , , , , and . SIGMOD Conference, page 1951-1960. ACM, (2016)A piggyback method to collect statistics for query optimization in database management systems., , , , , and . CASCON, page 25. IBM, (1998)In-memory BLU acceleration in IBM's DB2 and dashDB: Optimized for modern workloads and hardware architectures., , , , , and . ICDE, page 1246-1252. IEEE Computer Society, (2015)A study of the impact of direct access I/O on relational database management systems., , and . CASCON, page 10. IBM, (2002)Piggyback Statistics Collection for Query Optimization: Towards a Self-Maintaining Database Management System., , , , and . Comput. J., 47 (2): 221-244 (2004)DB2 with BLU Acceleration: So Much More than Just a Column Store., , , , , , , , , and 8 other author(s). Proc. VLDB Endow., 6 (11): 1080-1091 (2013)Is it DSS or OLTP: automatically identifying DBMS workloads., , , and . J. Intell. Inf. Syst., 30 (3): 249-271 (2008)