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    A resource discovery architecture of loosely coupled grid inter-cooperated virtual organisations using mobile agents and neural networks

    Sotiriadis, Stelios and Bessis, N. and Sant, P. and Maple, C. (2010) A resource discovery architecture of loosely coupled grid inter-cooperated virtual organisations using mobile agents and neural networks. In: UNSPECIFIED (ed.) 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing. IEEE, pp. 320-325. ISBN 9781424485383.

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    Grid computing offers a service for sharing resources over uncertain and complex environments. In such multi-participated settings it is essential to make the grid middleware functionality transparent to members by providing the ability to act autonomous and learning from the environment. Parallel to grid, artificial neural networks is a paradigm for processing information, which is inspired by the processes of biological nervous systems. The latter fields can be really promoted from the artificial intelligent agents, which offer an autonomous acting infrastructure of members with proactive and reactive aptitude. As grid is about sharing and allocating resources within uncertain domains, intelligent agents and neural networks may be the mean of achieving an autonomous learning environment of self-motivated members. In this study, we focus on the mobility agents’ model aiming to discovery resources dynamically, parallel to the artificial neural networks as a way to achieve the best resource discovery paths. Our work is fundamentally based on the Self-led Critical Friends method, a technique for realizing inter-cooperation among various scales Virtual Organisations (VOs). Their mediator acting nature redirects communication to other parties of different VOs by utilizing a public profile of data stored within VO members.


    Item Type: Book Section
    Keyword(s) / Subject(s): grid computing, learning (artificial intelligence), mobile agents, neural nets, resource allocation, software architecture, virtual reality, artificial intelligent agents, artificial neural networks, autonomous learning environment, biological nervous systems, grid computing, grid middleware functionality, loosely coupled grid inter-cooperated virtual organisations, mobile agents, resource allocation, resource discovery architecture, resource sharing, self-led critical friends method, Grid, Metadata Snapshot Profile, Mobile Agents, Self Organizing Maps, Self-led Critical Friends, component
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Research Centres and Institutes: Birkbeck Knowledge Lab
    Depositing User: Stelios Sotiriadis
    Date Deposited: 13 Jun 2018 13:23
    Last Modified: 09 Aug 2023 12:43


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