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- Data-Centric Benchmarking doi link

Author(s): Darmont J.

Book chapter: Data-Centric Benchmarking, vol. p.1772-1782 (2017)


Ref HAL: hal-01547328_v1
DOI: 10.4018/978-1-5225-2255-3.ch154
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.