The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Data-Centric Benchmarking
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.
Related Content
|
Tapan Kumar Behera.
© 2023.
20 pages.
|
|
B. Narendra Kumar Rao.
© 2023.
17 pages.
|
|
Blendi Rrustemi, Deti Baholli, Herolind Balaj.
© 2023.
18 pages.
|
|
Alma Beluli.
© 2023.
11 pages.
|
|
Jona Ndrecaj, Shkurte Berisha, Erita Çunaku.
© 2023.
15 pages.
|
|
Yllka Totaj.
© 2023.
12 pages.
|
|
Hla Myo Tun, Devasis Pradhan.
© 2023.
31 pages.
|
|
|