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dc.contributor.authorGanza, Sandy
dc.contributor.authorPsota, Thomas
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.accessioned2017-06-30T11:40:52Z
dc.date.available2017-06-30T11:40:52Z
dc.date.issued2015
dc.identifier.isbn978-3-88579-635-0
dc.identifier.issn1617-5468
dc.description.abstractEnergy efficiency in databases is an emerging topic. Our research prototype WattDB dynamically adjusts the number of active servers in a cluster to the current workload to achieve energy proportionality. In this demo, we give insights in the partitioning process and WattDB's reaction to workload changes by live-presenting a monitoring GUI. The whole process and the resulting configuration are visualized to give immediate feedback, how the cluster would react.en
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.titleVisualizing the behavior of an elastic, energy-efficient database clusteren
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages691-694
mci.conference.locationHamburg
mci.conference.date2.-3. März 2015


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