Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/103100
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dc.titleData generation for application-specific benchmarking
dc.contributor.authorTay, Y.C.
dc.date.accessioned2014-10-28T02:33:21Z
dc.date.available2014-10-28T02:33:21Z
dc.date.issued2011-08
dc.identifier.citationTay, Y.C. (2011-08). Data generation for application-specific benchmarking. Proceedings of the VLDB Endowment 4 (12) : 1470-1473. ScholarBank@NUS Repository.
dc.identifier.issn21508097
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/103100
dc.description.abstractThe 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.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentMATHEMATICS
dc.description.sourcetitleProceedings of the VLDB Endowment
dc.description.volume4
dc.description.issue12
dc.description.page1470-1473
dc.identifier.isiutNOT_IN_WOS
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