2.50
Hdl Handle:
http://hdl.handle.net/10547/250948
Title:
Modelling of a self-led critical friend topology in inter-cooperative grid communities
Authors:
Bessis, Nik; Huang, Ye; Norrington, Peter; Brown, Antony; Kuonen, Pierre; Hirsbrunner, Beat
Abstract:
For decades, much work has been done to increase the effectiveness and efficiency of job sharing amongst available computational resources. Resources can be organized into a variety of topologies, and recent work has shown that a decentralized distributed resource topology is a crucial but complicated scenario. This is because decentralized resources are normally grouped into independent virtual organizations (VOs) and isolated from each other by VO boundaries. To convey jobs across gaps between various virtual organizations, a novel resource topology called the self-led critical friend model (CFM) is proposed in this work. The CFM deals with trust credits between resources according to their historical collaboration records. This trust reveals a feasible, realistic, and transferable correlation to facilitate the resource selection process for job delegation between arbitrarily connected physical resources. Consequently, the CFM is able to overcome the constraints caused by virtual organization boundaries.
Citation:
Bessis, N. et al (2011) 'Modelling of a self-led critical friend topology in inter-cooperative grid communities' Simulation Modelling Practice and Theory 19 (1):5-16
Publisher:
Elsevier
Journal:
Simulation Modelling Practice and Theory
Issue Date:
Jan-2011
URI:
http://hdl.handle.net/10547/250948
DOI:
10.1016/j.simpat.2010.06.020
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S1569190X10001413
Type:
Article
Language:
en
ISSN:
1569190X
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorBessis, Niken_GB
dc.contributor.authorHuang, Yeen_GB
dc.contributor.authorNorrington, Peteren_GB
dc.contributor.authorBrown, Antonyen_GB
dc.contributor.authorKuonen, Pierreen_GB
dc.contributor.authorHirsbrunner, Beaten_GB
dc.date.accessioned2012-11-05T10:58:14Zen
dc.date.available2012-11-05T10:58:14Zen
dc.date.issued2011-01en
dc.identifier.citationBessis, N. et al (2011) 'Modelling of a self-led critical friend topology in inter-cooperative grid communities' Simulation Modelling Practice and Theory 19 (1):5-16en_GB
dc.identifier.issn1569190Xen
dc.identifier.doi10.1016/j.simpat.2010.06.020en
dc.identifier.urihttp://hdl.handle.net/10547/250948en
dc.description.abstractFor decades, much work has been done to increase the effectiveness and efficiency of job sharing amongst available computational resources. Resources can be organized into a variety of topologies, and recent work has shown that a decentralized distributed resource topology is a crucial but complicated scenario. This is because decentralized resources are normally grouped into independent virtual organizations (VOs) and isolated from each other by VO boundaries. To convey jobs across gaps between various virtual organizations, a novel resource topology called the self-led critical friend model (CFM) is proposed in this work. The CFM deals with trust credits between resources according to their historical collaboration records. This trust reveals a feasible, realistic, and transferable correlation to facilitate the resource selection process for job delegation between arbitrarily connected physical resources. Consequently, the CFM is able to overcome the constraints caused by virtual organization boundaries.en_GB
dc.language.isoenen
dc.publisherElsevieren_GB
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1569190X10001413en_GB
dc.subjectgriden_GB
dc.subjectgrid schedulingen_GB
dc.subjectcritical friend modelen_GB
dc.subjectCFMen_GB
dc.subjectself-led critical frienden_GB
dc.subjectinter-cooperative griden_GB
dc.titleModelling of a self-led critical friend topology in inter-cooperative grid communitiesen
dc.typeArticleen
dc.identifier.journalSimulation Modelling Practice and Theoryen_GB
All Items in UOBREP are protected by copyright, with all rights reserved, unless otherwise indicated.