Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A roadmap for big-data research and education
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-4250-4752
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2015 (English)Report (Other academic)
Abstract [en]

The research area known as big data is characterized by the 3 V’s, which are vol- ume; variety; and velocity. Recently, also veracity and value have been associated with big data and that adds up to the 5 V’s. Big data related information systems (IS) are typically highly distributed and scalable in order to handle the huge datasets in organizations. Data processing in such systems includes creation, retrieval, storage, analysis, presentation, visualization, and any other activity that is typical for IS sys- tems. Big data is often associated with business analytics, cloud services, or industrial systems.This document presents a brief overview of the state of the art in selected topics of big data research, with the purpose of providing input to a roadmap for research and education at Lule ̊a University of Technology (LTU). The selection of topics is based on assessments of where LTU can make an impact based on current and anticipated research strengths and position with industry (e.g., process industry, data centers and cloud application providers). Topics include distributed systems, mobility, Internet of Things, and advanced analytics.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2015. , 10 p.
Series
Technical report / Luleå University of Technology, ISSN 1402-1536
National Category
Media and Communication Technology Information Systems, Social aspects
Research subject
Mobile and Pervasive Computing; Information systems; Intelligent industrial processes (AERI); Enabling ICT (AERI)
Identifiers
URN: urn:nbn:se:ltu:diva-24316Local ID: a77593be-a71c-4c7c-ae73-0cc30c31e50bISBN: 978-91-7583-275-3 (electronic)OAI: oai:DiVA.org:ltu-24316DiVA: diva2:997368
Note
Godkänd; 2015; 20150325 (olov)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

Open Access in DiVA

fulltext(519 kB)682 downloads
File information
File name FULLTEXT01.pdfFile size 519 kBChecksum SHA-512
c910649b78850c72ce87a48e458bc474a209a957288d9a3ffbccef881f815602c5376b5618828fe774a7a277be267203846c7212783ffcdb5e92f239ef9666cc
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Schelén, OlovElragal, AhmedHaddara, Moutaz
By organisation
Computer Science
Media and Communication TechnologyInformation Systems, Social aspects

Search outside of DiVA

GoogleGoogle Scholar
Total: 682 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 407 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf