dc.contributor.advisor | Johansen, Dag | |
dc.contributor.author | Stenhaug, Magnus | |
dc.date.accessioned | 2014-07-22T08:54:47Z | |
dc.date.available | 2014-07-22T08:54:47Z | |
dc.date.issued | 2014-06-01 | |
dc.description.abstract | The 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.uri | https://hdl.handle.net/10037/6505 | |
dc.identifier.urn | URN:NBN:no-uit_munin_6107 | |
dc.language.iso | eng | en |
dc.publisher | UiT Norges arktiske universitet | en |
dc.publisher | UiT The Arctic University of Norway | en |
dc.rights.accessRights | openAccess | |
dc.rights.holder | Copyright 2014 The Author(s) | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/3.0 | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) | en_US |
dc.subject.courseID | INF-3981 | en |
dc.subject | VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550 | en |
dc.subject | VDP::Technology: 500::Information and communication technology: 550 | en |
dc.title | Eatnu: a storage system for evaluating and persisting sensor data | en |
dc.type | Master thesis | en |
dc.type | Mastergradsoppgave | en |