Autonomic service-oriented grid to enhance E-learning experiences

Youakim Badr, Zakaria Maamar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Grid environments were initially intended to deal with issues surrounding computing-intensive applications. Today, however, the use of Grids has evolved to tackle new horizons such as managing large amounts of data and running business applications that support consumers and casual users. In particular, this evolution towards a general-purpose, Grid service-based infrastructure allows educational institutions to enhance e-learning technologies and innovate in e-learning experiences through the provision and mutualisation of various services. Grid technologies will likely become the Information and Communication Technologies backbone of tomorrow's elearning programmes due to their ability to handle and process data from a multitude of resources (i.e., sensors, data warehouses, etc.) and offer new learning experiences which do not exist without the Grid capabilities. To face these new challenges, we propose a service-oriented Grid architecture capable to deliver services that can be used in collaborative learning processes and virtual learning environments. The architecture not only supports the provision of basic e-learning services but also provides infrastructure services (e.g., storage, computational resources, and security services), which can be combined to build on-demand and customized e-learning scenarios. The architecture is self-managed and exhibits autonomic behaviour to adapt itself to environment changes and exempt non-IT people from managing technical issues.

Original languageEnglish (US)
Title of host publication2009 3rd IEEE International Conference on Digital Ecosystems and Technologies, DEST '09
PublisherIEEE Computer Society
Pages649-654
Number of pages6
ISBN (Print)9781424423460
DOIs
StatePublished - 2009
Event2009 3rd IEEE International Conference on Digital Ecosystems and Technologies, DEST '09 - Istanbul, Turkey
Duration: Jun 1 2009Jun 3 2009

Publication series

Name2009 3rd IEEE International Conference on Digital Ecosystems and Technologies, DEST '09

Conference

Conference2009 3rd IEEE International Conference on Digital Ecosystems and Technologies, DEST '09
Country/TerritoryTurkey
CityIstanbul
Period6/1/096/3/09

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Ecological Modeling
  • Environmental Engineering

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