Multi-agent system based regional Data grid

Saleh AlZahrani*, Aladdin Ayesh, Hussein Zedan

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    3 Citations (Scopus)

    Abstract

    Grids are increasingly being used in applications, one of which is e-learning. As most of business and academic institutions (universities) and training centres around the world have adopted this technology in order to create, deliver and manage their learning materials through the web, the subject has become the focus of investigate. Still, collaboration between these institutions and centres is limited. Existing technologies such as grid, web services and agents are promising better results. In this paper we support building our architecture Regionally Distributed Architecture for Dynamic e-Learning Environment (RDADeLE) by using agent technology (Multi-Agent System) using Java Agent DEvelopment Framework (JADE). By describing these agents in details, we prove that agents can be implemented to work well to extend the autonomy and interoperability for regional data grid.

    Original languageEnglish
    Title of host publication2008 International Conference on Computer Engineering and Systems, ICCES 2008
    PublisherIEEE Explore
    Pages337-342
    Number of pages6
    ISBN (Print)9781424421152
    DOIs
    Publication statusPublished - 2008
    Event2008 International Conference on Computer Engineering and Systems, ICCES 2008 - Cairo, Egypt
    Duration: 25 Nov 200827 Nov 2008

    Conference

    Conference2008 International Conference on Computer Engineering and Systems, ICCES 2008
    Country/TerritoryEgypt
    CityCairo
    Period25/11/0827/11/08

    Keywords

    • Autonomous
    • Data grid
    • Distributed data grid
    • E-learning
    • Intelligent
    • JADE
    • Learning Objects (LO)
    • Multi-Agent System (MAS)
    • Regional grid
    • Search

    Fingerprint

    Dive into the research topics of 'Multi-agent system based regional Data grid'. Together they form a unique fingerprint.

    Cite this