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Experiences from Building the Open Database Performance Ranking with benchANT

dc.contributor.authorSeybold, Daniel
dc.contributor.authorDomaschka, Jörg
dc.contributor.editorHerrmann, Andrea
dc.date.accessioned2024-02-22T10:37:52Z
dc.date.available2024-02-22T10:37:52Z
dc.date.issued2023
dc.description.abstractBenchmarking is an important method to advance database management systems (DBMS) from the industry and research perspective. Ensuring transparent and reproducible results is a key requirement to ensure the acceptance and credibility of benchmarking. To advance the research towards transparent and reproducible benchmark data, we report on building an open DBMS performance ranking with 130 benchmark configurations and ensuring comparability, transparency and reproducibility. We derive the required data on cloud, resource, DBMS and benchmark level to enable transparency and reproducibility and demonstrate the generation of such data sets with benchANT. Building upon such data, we outline future research directions for DBMS performance modelling, DBMS auto-tuning and decision support.en
dc.identifier.issn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43640
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 43, Heft 1
dc.relation.ispartofseriesSoftwaretechnik-Trends
dc.subjectperformance
dc.subjectbenchmark
dc.subjectdatabase
dc.subjectDBMS
dc.subjecttransparency
dc.subjectreproducibility
dc.titleExperiences from Building the Open Database Performance Ranking with benchANTen
dc.typeText/Conference Paper
mci.conference.date7.-9.11.2022
mci.conference.locationStuttgart
mci.conference.sessiontitle13th Symposium on Software Performance (SSP)
mci.reference.pages29-31

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