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|Title:||Data generation for application-specific benchmarking||Authors:||Tay, Y.C.||Issue Date:||Aug-2011||Citation:||Tay, Y.C. (2011-08). Data generation for application-specific benchmarking. Proceedings of the VLDB Endowment 4 (12) : 1470-1473. ScholarBank@NUS Repository.||Abstract:||The Transaction Processing Council (TPC) has played a pivotal role in the database industry's growth over the last twenty-five years. However, its handful of domain-specific benchmarks are increasingly irrelevant to the multitude of data-centric applications, and its top-down process is slow. This mismatch calls for a paradigm shift to a bottomup community effort to develop tools for application-specific benchmarking. Such a development program would center around techniques for synthetically scaling (up or down) an empirical dataset. This engineering effort in turn requires the development of a database theory on attribute value correlation. © 2011 VLDB Endowment.||Source Title:||Proceedings of the VLDB Endowment||URI:||http://scholarbank.nus.edu.sg/handle/10635/103100||ISSN:||21508097|
|Appears in Collections:||Staff Publications|
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