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Energy and performance - can a wimpy-node cluster challenge a brawny server

dc.contributor.authorSchall, Daniel
dc.contributor.authorHärder, Theo
dc.contributor.editorSeidl, Thomas
dc.contributor.editorRitter, Norbert
dc.contributor.editorSchöning, Harald
dc.contributor.editorSattler, Kai-Uwe
dc.contributor.editorHärder, Theo
dc.contributor.editorFriedrich, Steffen
dc.contributor.editorWingerath, Wolfram
dc.date.accessioned2017-06-30T11:40:45Z
dc.date.available2017-06-30T11:40:45Z
dc.date.issued2015
dc.description.abstractTraditional DBMS servers are often over-provisioned for most of their daily workloads and, because they do not provide energy proportionality, waste more energy than necessary. A cluster of wimpy servers, where the number of nodes can dynamically adjust to the current workload, might offer better energy characteristics for these workloads. Yet, clusters suffer from friction losses and cannot quickly adapt to the workload, whereas a single server delivers maximum performance instantaneously. Designed for a cluster of nodes, our WattDB system primarily aims at energy proportionality for a wide range of DB applications. In this paper, we check this system under OLTP and OLAP workloads against a single-server DBMS in terms of throughput/response time and energy efficiency. To test the system's ability to adjust to changing workloads, we execute several benchmark at differing system activity levels. To quantify possible energy saving and its conceivable drawback on query runtime, we evaluate our WattDB implementation-to obtain maximum accuracy possible-on a cluster of wimpy nodes as well as on a single, brawny server and compare the results w.r.t. performance and energy consumption. Our findings confirm that-especially for OLAP workloads-energy can be saved without sacrificing too much performance.en
dc.identifier.isbn978-3-88579-635-0
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2015)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-241
dc.titleEnergy and performance - can a wimpy-node cluster challenge a brawny serveren
dc.typeText/Conference Paper
gi.citation.endPage216
gi.citation.publisherPlaceBonn
gi.citation.startPage197
gi.conference.date2.-3. März 2015
gi.conference.locationHamburg

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