Tractor pulling on data warehouses

Martin L. Kersten, Alfons Kemper, Volker Markl, Anisoara Nica, Meikel Poess, Kai Uwe Sattler

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Robustness of database systems under stress is hard to quantify, because there are many factors involved, most notably the user expectation to perform a job within certain bounds of the user requirements. Nevertheless, robustness of database system is very important to end users. In this paper we develop a database benchmark suite, inspired by tractor pulling, where robustness is measured as a system's ability to process data despite a continuous increase in system load, as defined in terms of data volume, query volume and complexity. A functional evaluation is performed against several systems to highlight the benchmark capabilities.

Original languageEnglish
Title of host publicationProceedings of the 4th International Workshop on Testing on Database Systems, DBTest 2011, in Conjunction with the 2011 ACM SIGMOD/PODS Conference
PublisherAssociation for Computing Machinery
ISBN (Print)9781450306553
DOIs
StatePublished - 2011
Event4th International Workshop on Testing on Database Systems, DBTest 2011, in Conjunction with the 2011 ACM SIGMOD/PODS Conference - Athens, Greece
Duration: 13 Jun 2011 → …

Publication series

NameProceedings of the 4th International Workshop on Testing on Database Systems, DBTest 2011, in Conjunction with the 2011 ACM SIGMOD/PODS Conference

Conference

Conference4th International Workshop on Testing on Database Systems, DBTest 2011, in Conjunction with the 2011 ACM SIGMOD/PODS Conference
Country/TerritoryGreece
CityAthens
Period13/06/11 → …

Keywords

  • Benchmark
  • Dagstuhl
  • Datawarehousing
  • Robustness
  • SQL
  • TPC
  • Tractor pulling

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