Computational Modeling of Collaborative Resources Sharing in Grid System

dc.contributor.authorOluwatope, Ayodeji
dc.contributor.authorIyanda, Duada
dc.contributor.authorAderounmu, Ganiyu
dc.contributor.authorAdagunodo, Rotimi
dc.date.accessioned2020-01-20T14:05:14Z
dc.date.available2020-01-20T14:05:14Z
dc.date.issued2011-03
dc.descriptionpp.311-321en_US
dc.description.abstractIn grid computing, Grid users who submit jobs or tasks and resources providers who provide resources have different motivations when they join the Grid system. However, due to autonomy both the Grid users’ and resource providers’ objectives often conflict. This paper proposes autonomous hybrid resource management algorithm aim at optimizing the resource utilization of resources providers using “what-you-give-is-what-you-get” Service Level Agreements resource allocation policy. Utility functions are used to achieve the objectives of Grid resource and application. The algorithm was formulated as joint optimization of utilities of Grid applications and Grid resources, which combine the resource contributed, incentive score, trustworthiness and reputation score to compute resource utilization. Simulations were conducted to study the performance of the algorithm using GridSim v5.0. The simulation results revealed that the algorithm yields significantly good result because no user can consume more than what it contribute under different scenarios; hence the problem of free riding has been addressed through this algorithm. KeywordsResource scheduling–Grid System–Computational modelingen_US
dc.identifier.citationOluwatope.A, Iyanda. D, Aderounmu.G, Adagunodo. R (2011) Computational Modeling of Collaborative Resources Sharing in Grid System. Information Intelligence, Systems, Technology and Managementen_US
dc.identifier.issnIssn: 1865-0929
dc.identifier.otherDOI: 10.1007/978-3-642-19423-8_32
dc.identifier.urihttps://ir.oauife.edu.ng/handle/123456789/5098
dc.language.isoenen_US
dc.publisherSpringer Linken_US
dc.subjectResourceen_US
dc.subjectscheduling–Griden_US
dc.subjectSystem–Computationalen_US
dc.subjectmodelingen_US
dc.titleComputational Modeling of Collaborative Resources Sharing in Grid Systemen_US
dc.typeConference paperen_US
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