Practical throughput estimation for parallel databases

Shaoyu Zhou, Howard Williams, Hamish Taylor

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)
32 Downloads (Pure)

Abstract

Methods for estimating the performance of database management systems can aid the design of database systems by identifying potential performance bottle-necks or by predicting the relative performance of different designs. Performance estimation is critical in parallel database systems with distributed memory, where an effective overall performance depends on a good choice among a wide range of ways of placing data. An approach is described for performance estimation for shared-nothing parallel database systems. It estimates system throughput for a given benchmark or set of queries, and can exercise different data placement schemes to determine the data layout that provides the best throughput value. © IEE: 1996.

Original languageEnglish
Pages (from-to)255-263
Number of pages9
JournalSoftware Engineering Journal
Volume11
Issue number4
Publication statusPublished - Jul 1996

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