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Leveraging on High-Performance Computing and Cloud Technologies in Digital Libraries: A Case Study
University of Borås, Swedish School of Library and Information Science.
University of Borås, Swedish School of Library and Information Science.
2011 (English)Conference paper, Published paper (Refereed)
Abstract [en]

With the emergence of high-performance computing instances in the cloud, massive scale computations have become available to technically every organization. Digital libraries typically employ a data-intensive infrastructure, but given the resources, advanced services based on data and text mining could be developed. A fundamental issue is the ease of development and integration of such services. We demonstrate the feasibility by providing a case study on a visual machine learning algorithm with MapReduce running in the cloud in a small cluster.

Place, publisher, year, edition, pages
2011.
Keyword [en]
high-performance computing, self-organizing maps, cloud computing, mapreduce, digital libraries, topic modelling
Keyword [sv]
text mining
National Category
Computational Mathematics Computer and Information Science
Research subject
Library and Information Science
Identifiers
URN: urn:nbn:se:hb:diva-6666Local ID: 2320/9695OAI: oai:DiVA.org:hb-6666DiVA: diva2:887365
Conference
3rd IEEE International Conference on Cloud Computing Technology and Science, IEEE CloudCom 2011, Athens, Greece Nov 29- Dec 1
Available from: 2015-12-22 Created: 2015-12-22

Open Access in DiVA

fulltext(194 kB)256 downloads
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Type fulltextMimetype application/pdf

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Wittek, PeterDarányi, Sándor
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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