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

2.50
Hdl Handle:
http://hdl.handle.net/10547/270641
Title:
A resource discovery architecture of loosely coupled grid inter-cooperated virtual organisations using mobile agents and neural networks
Authors:
Sotiriadis, Stelios; Bessis, Nik; Sant, Paul; Maple, Carsten
Abstract:
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.
Affiliation:
University of Bedfordshire, UK
Citation:
Sotiriadis, S., Bessis, N., Sant, P. and Maple, C.(2010) "A Resource Discovery Architecture of Loosely Coupled Grid Inter-cooperated Virtual Organisations Using Mobile Agents and Neural Networks," P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2010 International Conference on , pp.320-325, 4-6 Nov. 2010
Publisher:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date:
2010
URI:
http://hdl.handle.net/10547/270641
DOI:
10.1109/3PGCIC.2010.53
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5662769
Type:
Conference papers, meetings and proceedings
Language:
en
ISBN:
978-0-7695-4237-9
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorSotiriadis, Steliosen_GB
dc.contributor.authorBessis, Niken_GB
dc.contributor.authorSant, Paulen_GB
dc.contributor.authorMaple, Carstenen_GB
dc.date.accessioned2013-02-28T14:41:07Z-
dc.date.available2013-02-28T14:41:07Z-
dc.date.issued2010-
dc.identifier.citationSotiriadis, S., Bessis, N., Sant, P. and Maple, C.(2010) "A Resource Discovery Architecture of Loosely Coupled Grid Inter-cooperated Virtual Organisations Using Mobile Agents and Neural Networks," P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2010 International Conference on , pp.320-325, 4-6 Nov. 2010en_GB
dc.identifier.isbn978-0-7695-4237-9-
dc.identifier.doi10.1109/3PGCIC.2010.53-
dc.identifier.urihttp://hdl.handle.net/10547/270641-
dc.description.abstractGrid 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.en_GB
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5662769en_GB
dc.subjectgriden_GB
dc.subjectmetadata snapshot profileen_GB
dc.subjectmobile agentsen_GB
dc.subjectself organizing mapsen_GB
dc.subjectself-led critical friendsen_GB
dc.titleA resource discovery architecture of loosely coupled grid inter-cooperated virtual organisations using mobile agents and neural networksen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshire, UKen_GB
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