2010
DOI: 10.1016/j.future.2010.05.012
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Resource federation in grid using automated intelligent agent negotiation

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Cited by 16 publications
(24 citation statements)
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“…They describe the VieSLAF framework to facilitate service mediation and negotiation bootstrapping in such clouds. Cheng et al [19] present a framework for resource federation in grids, given that nodes are equipped with policies and they possess criteria to accept or not an agreement.…”
Section: Sla Negotiation In Computational Gridsmentioning
confidence: 99%
See 1 more Smart Citation
“…They describe the VieSLAF framework to facilitate service mediation and negotiation bootstrapping in such clouds. Cheng et al [19] present a framework for resource federation in grids, given that nodes are equipped with policies and they possess criteria to accept or not an agreement.…”
Section: Sla Negotiation In Computational Gridsmentioning
confidence: 99%
“…11.002 In this paper we tackle the subject of automating SLA negotiation in computational grids, with competing participants and under time constraints. Previous work regarding SLA negotiation in grids [2,4,[11][12][13][14][15][16][17][18][19] focuses on devising SLA negotiation frameworks using bargaining models with agents employing various concession-based strategies. However, negotiation time is not explicitly considered as a resource and opponent modeling is absent.…”
Section: Introductionmentioning
confidence: 99%
“…The formal SLA specification, integration and calculation of remaining execution time are not addressed in this model. The literature [25] explains about the methodology to federate multiple resources using agent negotiation. In our current work, we implement the proposed GSMA architecture as grid services and integrate it with CRB in order to ensure that the user's QoS requirements are fulfilled till the end of the execution.…”
Section: Service Level Agreementsmentioning
confidence: 99%
“…Therefore, workflow optimization should also be considered in the network and software architecture design. In previous research, multiple types of workflow optimization and semantic matching strategies are evaluated such as reinforcement learning [5], [6], machine learning (SVM, Bayes) [7] and relation based negotiation [8]. In this study, an infrastructure for medical image distribution is proposed and a RBSM algorithm enhanced by ILP is utilized to design medical image distribution strategy based on reporting workflow and efficiency.…”
Section: Introductionmentioning
confidence: 99%