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dc.contributor.authorDreissig, Felix
dc.contributor.authorPollner, Niko
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.accessioned2017-06-21T11:24:40Z
dc.date.available2017-06-21T11:24:40Z
dc.date.issued2017
dc.identifier.isbn978-3-88579-660-2
dc.identifier.issn1617-5468
dc.description.abstractSensor data of a modern data center’s cooling and power infrastructure fulfil the character- istics of data streams and are therefore suitable for stream processing. We present a stream-based monitoring platform for data center infrastructure. It is based on multiple independent collectors, which query measurements from sensors and forward them to an Apache Kafka queue. At the platform’s core is a processing cluster based on Apache Storm and its high-level Trident API. From there, results get forwarded to one or multiple data sinks. Using our system, analytical queries can be developed using a collection of universal, generic stream operators including CORRELATE, a novel operator which combines elements from multiple streams with unique semantics. Besides the platform’s general concept, the characteristics and pitfalls of our real-world implementation are also discussed in this work.en
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.subjectData Stream
dc.subjectStream Processing
dc.subjectApache Storm
dc.subjectTrident
dc.subjectMonitoring
dc.subjectData Center
dc.titleA Data Center Infrastructure Monitoring Platform Based on Storm and Tridenten
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages281-290
mci.conference.sessiontitleStudierendenprogramm
mci.conference.locationStuttgart
mci.conference.date6.-10. März 2017


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