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- W4254382560 abstract "In data management, both system designers and users casually resort to performance evaluation. Performance evaluation by experimentation on a real system is generally referred to as benchmarking. The aim of this chapter is to present an overview of the major past and present state-of-the-art data-centric benchmarks. This review includes the TPC standard benchmarks, but also alternative or more specialized benchmarks. Surveyed benchmarks are categorized into three families: transaction benchmarks aimed at on-line transaction processing (OLTP), decision-support benchmarks aimed at on-line analysis processing (OLAP), and big data benchmarks. Issues, tradeoffs, and future trends in data-centric benchmarking are also discussed." @default.
- W4254382560 created "2022-05-12" @default.
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- W4254382560 date "2019-01-01" @default.
- W4254382560 modified "2023-09-26" @default.
- W4254382560 title "Data-Centric Benchmarking" @default.
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- W4254382560 doi "https://doi.org/10.4018/978-1-5225-7598-6.ch025" @default.
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