Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/3995
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dc.contributor.authorMustafee, N-
dc.contributor.authorTaylor, SJE-
dc.coverage.spatial11en
dc.date.accessioned2009-12-23T09:26:29Z-
dc.date.available2009-12-23T09:26:29Z-
dc.date.issued2008-
dc.identifier.citationProceedings of the OR Society 4th Simulation Workshop (SW08), Worcestershire, April 2008. pp. 297-307en
dc.identifier.urihttp://www.orsoc.org.uk/conf/simulation2008/proceedings/session12.pdfen
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/3995-
dc.description.abstractAs simulation experimentation in industry become more computationally demanding, grid computing can be seen as a promising technology that has the potential to bind together the computational resources needed to quickly execute such simulations. To investigate how this might be possible, this paper reviews the grid technologies that can be used together with commercial-off-the-shelf simulation packages (CSPs) used in industry. The paper identifies two specific forms of grid computing (Public Resource Computing and Enterprise-wide Desktop Grid Computing) and the middleware associated with them (BOINC and Condor) as being suitable for grid-enabling existing CSPs. It further proposes three different CSP-grid integration approaches and identifies one of them to be the most appropriate. It is hoped that this research will encourage simulation practitioners to consider grid computing as a technologically viable means of executing CSP-based experiments faster.en
dc.language.isoenen
dc.publisherOperational Research Societyen
dc.subjectSimulation modellingen
dc.subjectGrid computingen
dc.subjectCOTS simulation packageen
dc.subjectBOINCen
dc.subjectCondoren
dc.titleInvestigating grid computing technologies for use with commercial simulation packagesen
dc.typeConference Paperen
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

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