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Spotlytics: How to Use Cloud Market Places for Analytics?

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dc.contributor.authorKraska, Tim
dc.contributor.authorDadashov, Elkhan
dc.contributor.authorBinnig, Carsten
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.accessioned2017-06-20T20:24:31Z
dc.date.available2017-06-20T20:24:31Z
dc.date.issued2017
dc.description.abstractIn contrast to fixed-priced cloud computing services, Amazon’s Spot market uses a demand-driven pricing model for renting out virtual machine instances. This allows for remarkable savings when used intelligently. However, a peculiarity of Amazon’s Spot market is, that machines can suddenly be taken away from the user if the price on the market increases. This can be considered as a distinct form of a machine failure. In this paper, we first analyze Amazon’s current spot market rules and based on the results develop a general market model. This model is valid for Amazon’s current Spot service but also many potential variations of it, as well as other cloud computing markets. Using the developed market model, we then make recommendations on how to deploy analytical systems with the following three fault-tolerance/recovery strategies: re-execution as used by traditional database systems, checkpointing as, for example, used by Hadoop, and lineage-based recovery as, for example, used by Spark. The main insights are that for traditional database systems using significantly more instances/machines can be cheaper, whereas for systems with checkpoint recovery the opposite is true, while lineage-based recovery is not beneficial for cloud markets at all.en
dc.identifier.isbn978-3-88579-659-6
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2017)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-265
dc.titleSpotlytics: How to Use Cloud Market Places for Analytics?en
dc.typeText/Conference Paper
gi.citation.endPage380
gi.citation.startPage361
gi.conference.date6.-10. März 2017
gi.conference.locationStuttgart
gi.conference.sessiontitleCloud and Benchmarks

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