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dc.contributor.advisorJohansen, Dag
dc.contributor.authorStenhaug, Magnus
dc.date.accessioned2014-07-22T08:54:47Z
dc.date.available2014-07-22T08:54:47Z
dc.date.issued2014-06-01
dc.description.abstractThe amount of information generated exceeeds the current available storage. Big Data, the Internet of Things and the increasing popularity of self-tracking gadgets call for new storage solutions to manage and analyze the data. To handle the constant flow of information, we have implemented Eatnu. Eatnu is a storage system designed to handle large data streams, where programmers can specify what parts of the stream to persist to disk.en
dc.identifier.urihttps://hdl.handle.net/10037/6505
dc.identifier.urnURN:NBN:no-uit_munin_6107
dc.language.isoengen
dc.publisherUiT Norges arktiske universiteten
dc.publisherUiT The Arctic University of Norwayen
dc.rights.accessRightsopenAccess
dc.rights.holderCopyright 2014 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/3.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)en_US
dc.subject.courseIDINF-3981en
dc.subjectVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en
dc.subjectVDP::Technology: 500::Information and communication technology: 550en
dc.titleEatnu: a storage system for evaluating and persisting sensor dataen
dc.typeMaster thesisen
dc.typeMastergradsoppgaveen


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Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)