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Coordinated Omission in NoSQL Database Benchmarking

dc.contributor.authorFriedrich, Steffen
dc.contributor.authorWingerath, Wolfram
dc.contributor.authorRitter, Norbert
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorNicklas, Daniela
dc.contributor.editorLeymann, Frank
dc.contributor.editorSchöning, Harald
dc.contributor.editorHerschel, Melanie
dc.contributor.editorTeubner, Jens
dc.contributor.editorHärder, Theo
dc.contributor.editorKopp, Oliver
dc.contributor.editorWieland, Matthias
dc.date.accessioned2017-06-21T11:24:38Z
dc.date.available2017-06-21T11:24:38Z
dc.date.issued2017
dc.description.abstractDatabase system benchmark frameworks like the Yahoo! Cloud Serving Benchmark (YCSB) play a crucial role in the process of developing and tuning data management systems. YCSB has become the de facto standard for performance evaluation of scalable NoSQL database systems. However, its initial design is prone to skipping important latency measurements. This phenomenon is known as the coordinated omission problem and occurs in almost all load generators and monitoring tools. A recent revision of the YCSB code base addresses this particular problem, but does not actually solve it. In this paper we present the latency measurement scheme of NoSQLMark, our own YCSB-based scalable benchmark framework that completely avoids coordinated omission and show that NoSQLMark produces more accurate results using our validation tool SickStore and the distributed data store Cassandra.en
dc.identifier.isbn978-3-88579-660-2
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-266
dc.subjectDatabase Benchmarks
dc.subjectCoordinated Omission
dc.subjectNoSQL
dc.titleCoordinated Omission in NoSQL Database Benchmarkingen
dc.typeText/Conference Paper
gi.citation.endPage226
gi.citation.publisherPlaceBonn
gi.citation.startPage215
gi.conference.date6.-10. März 2017
gi.conference.locationStuttgart
gi.conference.sessiontitleScalable Cloud Data Management Workshop (SCDM 2017)

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