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Network Resource Management in Support of QoS in Ubiquitous Learning
UAE University, United Arab Emirates.ORCID iD: 0000-0002-7312-9089
UAE University, Univted Arab Emirates.
2014 (English)In: Journal of Network and Computer Applications, ISSN 1084-8045, E-ISSN 1095-8592, Vol. 41, p. 148-156Article in journal, Editorial material (Refereed) Published
Abstract [en]

Ubiquitous learning involves a large-scale service network organized as a social infrastructure. These environments weave together context service dissemination, learner profiling as well as autonomic control of the induced network traffic. The objective of the research presented in this paper is to derive a Quality of Service aware model of ubiquitous learning services based on typical learning schemes. These pedagogical patterns are designed to match various learning situations in terms of learning context, learner profile and network infrastructure. They particularly represent classes of services in ubiquitous learning environments to prioritize traffic so that less important traffic does not consume network bandwidth and slow down or halt the delivery of more important traffic. We analyze formally and empirically the network traffic requirements of a proposed learning service quality controller to support providers of learning services allocating resources in a pervasive learning environment.

Place, publisher, year, edition, pages
Netherlands: Elsevier, 2014. Vol. 41, p. 148-156
Keywords [en]
Learning technology, Ubiquitous learning, Quality of Service, Network resource allocation
National Category
Computer Sciences
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-11906DOI: 10.1016/j.jnca.2013.11.003OAI: oai:DiVA.org:his-11906DiVA, id: diva2:902611
Available from: 2016-02-11 Created: 2016-02-11 Last updated: 2018-01-10Bibliographically approved

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Atif, Yacine

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Citation style
  • apa
  • harvard1
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  • vancouver
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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