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Query Planning for Transactional Stream Processing on Heterogeneous Hardware: Opportunities and Limitations

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dc.contributor.authorGötze, Philipp
dc.contributor.authorPohl, Constantin
dc.contributor.authorSattler, Kai-Uwe
dc.contributor.editorMeyer, Holger
dc.contributor.editorRitter, Norbert
dc.contributor.editorThor, Andreas
dc.contributor.editorNicklas, Daniela
dc.contributor.editorHeuer, Andreas
dc.contributor.editorKlettke, Meike
dc.date.accessioned2019-04-15T11:40:41Z
dc.date.available2019-04-15T11:40:41Z
dc.date.issued2019
dc.description.abstractIn a heterogeneous hardware landscape consisting of various processing units and memory types, it is crucial to decide which device should be used when running a query. There is already a lot of research done for placement decisions on CPUs, coprocessors, GPUs, or FPGAs. However, those decisions can be further extended for the various types of memory within the same layer of the memory hierarchy. For storage, a division between SSDs, HDDs or even NVM is possible, whereas for main memory types like DDR4 and HBM exist. In this paper, we focus on query planning for the transactional stream processing model. We give an overview of several techniques and necessary parameters when optimizing a stateful query for various memory types, outlined with chosen experimental measurements to support our claims.en
dc.identifier.doi10.18420/btw2019-ws-05
dc.identifier.isbn978-3-88579-684-8
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/21826
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBTW 2019 – Workshopband
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) – Proceedings, Volume P-290
dc.subjectStream Processing
dc.subjectTransactions
dc.subjectCost Model
dc.subjectXeon Phi
dc.subjectNVM
dc.subjectNon-Volatile Memory
dc.titleQuery Planning for Transactional Stream Processing on Heterogeneous Hardware: Opportunities and Limitationsen
dc.title.subtitleNovel Ideas & Experience Reportsen
dc.title.subtitleNovel Ideas & Experience Reports
gi.citation.endPage80
gi.citation.startPage71
gi.conference.date4.-8. März 2019
gi.conference.locationRostock
gi.conference.sessiontitle1st Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC)

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