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Placement-Safe Operator-Graph Changes in Distributed Heterogeneous Data Stream Systems

dc.contributor.authorPollner, Niko
dc.contributor.authorSteudtner, Christian
dc.contributor.authorMeyer-Wegener, Klaus
dc.contributor.editorRitter, Norbert
dc.contributor.editorHenrich, Andreas
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorThor, Andreas
dc.contributor.editorFriedrich, Steffen
dc.contributor.editorWingerath, Wolfram
dc.date.accessioned2017-06-30T11:39:38Z
dc.date.available2017-06-30T11:39:38Z
dc.date.issued2015
dc.description.abstractData stream processing systems enable querying continuous data without first storing it. Data stream queries may combine data from distributed data sources like different sensors in an environmental sensing application. This suggests distributed query processing. Thus the amount of transferred data can be reduced and more processing resources are available. However, distributed query processing on probably heterogeneous platforms complicates query optimization. This article investigates query optimization through operator graph changes and its interaction with operator placement on heterogeneous distributed systems. Pre-distribution operator graph changes may prevent certain operator placements. Thereby the resource consumption of the query execution may unexpectedly increase. Based on the operator placement problem modeled as a task assignment problem (TAP), we prove that it is NP-hard to decide in general whether an arbitrary operator graph change may negatively influence the best possible TAP solution. We present conditions for several specific operator graph changes that guarantee to preserve the best possible TAP solution.en
dc.identifier.isbn978-3-88579-636-7
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2015) - Workshopband
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-242
dc.titlePlacement-Safe Operator-Graph Changes in Distributed Heterogeneous Data Stream Systemsen
dc.typeText/Conference Paper
gi.citation.endPage70
gi.citation.publisherPlaceBonn
gi.citation.startPage61
gi.conference.date2.-3. März 2015
gi.conference.locationHamburg

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