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Providing high-availability, elasticity for an in-memory database system with RAMCloud

dc.contributor.authorTinnefeld, Christian
dc.contributor.authorTaschik, Daniel
dc.contributor.authorPlattner, Hasso
dc.contributor.editorHorbach, Matthias
dc.date.accessioned2019-03-07T09:33:14Z
dc.date.available2019-03-07T09:33:14Z
dc.date.issued2013
dc.description.abstractStanford's RAMCloud is a large-scale storage system that keeps all data in DRAM and provides high availability as well as a great degree of elasticity. These properties make it desirable for being used as the persistence for an in-memory database system. In this paper, we experimentally demonstrate the high availability and elasticity RAMCloud can provide when it is being used as a storage system for a relational in-memory database system: a) We utilize RAMCloud's fast-crash-recovery mechanism and measure its impact on database query processing performance. b) We evaluate the elasticity by executing a sinus-shaped, a plateau, and an exponential database workload. Based on our experiments, we show that an in-memory database running on top of RAMCloud can within seconds adapt to changing workloads and recover data from a crashed node - both without an interruption of the ongoing query processing.en
dc.identifier.isbn978-3-88579-614-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/20772
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2013 – Informatik angepasst an Mensch, Organisation und Umwelt
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-220
dc.titleProviding high-availability, elasticity for an in-memory database system with RAMClouden
dc.typeText/Conference Paper
gi.citation.endPage486
gi.citation.publisherPlaceBonn
gi.citation.startPage472
gi.conference.date16.-20. September 2013
gi.conference.locationKoblenz
gi.conference.sessiontitleRegular Research Papers

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