Practical throughput estimation for parallel databases

Shaoyu Zhou, Howard Williams, Hamish Taylor

Research output: Contribution to journalArticle

11 Citations (Scopus)
25 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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    Zhou, S., Williams, H., & Taylor, H. (1996). Practical throughput estimation for parallel databases. Software Engineering Journal, 11(4), 255-263.