A reference architecture for a national e-learning infrastructure

Salim Saay, Alex Norta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A reference architecture guides an organization with best-practice knowledge about existing architectures, including an elaboration of the organization's mission, vision and strategy of a specific domain. Current e-learning architectures, however, focus on the theoretical framework of the application layer, service layer and database engineering while in reality, a networking layer is required for the implementation of e-learning systems. Existing publications do not focus on the collaborative aspect in the domain of national research and education networks (NRENs). This research tackles the creation of a reference architecture for elearning in NRENs for which model driven engineering (MDE) is used. We analyze relevant aspects of NREN e-learning architectures by using the architecture tradeoff analysis method (ATAM). Next, we propose a NREN e-learning standard and concrete architecture.

Original languageEnglish
Title of host publicationProceedings - 9th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2016
PublisherAssociation for Computing Machinery, Inc
Pages404-409
Number of pages6
ISBN (Electronic)9781450346160
DOIs
Publication statusPublished - 6 Dec 2016
Externally publishedYes
Event9th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2016 - Shanghai, China
Duration: 6 Dec 20169 Dec 2016

Publication series

NameProceedings - 9th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2016

Conference

Conference9th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2016
Country/TerritoryChina
CityShanghai
Period6/12/169/12/16

Keywords

  • AfgREN
  • ATAM
  • E-learning
  • MDE
  • NREN
  • Reference architecture

Fingerprint

Dive into the research topics of 'A reference architecture for a national e-learning infrastructure'. Together they form a unique fingerprint.

Cite this