Logo des Repositoriums
 

Energy Efficiency in Main-Memory Databases

dc.contributor.authorNoll, Stefan
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.accessioned2017-06-21T11:24:41Z
dc.date.available2017-06-21T11:24:41Z
dc.date.issued2017
dc.description.abstractAs the operating costs of today’s data centres continue to increase and processor man- ufacturers are forced to meet thermal design power constraints, the energy efficiency of a main-memory database management system becomes more and more important. In this paper, we experi- mentally study the impact of reducing the clock frequency of the processor on the energy efficiency of common database algorithms such as scans, simple aggregations, simple hash joins and state-of- the-art join algorithms. We stress the fundamental trade-off between peak performance and energy efficiency, as opposed to the established race-to-idle strategy. Ultimately, we learn that database workloads behave considerably different than other workload types and that reducing the computing power e.g. by limiting the clock frequency can significantly improve energy efficiency.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.subjectmain-memory database systems
dc.subjectenergy efficiency
dc.subjectDFVS
dc.titleEnergy Efficiency in Main-Memory Databasesen
dc.typeText/Conference Paper
gi.citation.endPage344
gi.citation.publisherPlaceBonn
gi.citation.startPage335
gi.conference.date6.-10. März 2017
gi.conference.locationStuttgart
gi.conference.sessiontitleStudierendenprogramm

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
paper38.pdf
Größe:
339.53 KB
Format:
Adobe Portable Document Format