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Title:
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ADAPTED QUALITY RESOURCE SELECTION USING THE GRID REPUTATION-POLICY TRUST MANAGEMENT SERVICE |
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Author(s):
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Yonatan Zetuny , Gabor Terstyanszky , Stephen Winter , Peter Kacsuk |
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ISBN:
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978-972-8924-86-7 |
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Editors:
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Hans Weghorn, Jörg Roth and Pedro Isaías |
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Year:
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2009 |
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Edition:
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Single |
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Keywords:
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Grid Computing, Security, Trust, Reputation, Policy, Qos |
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Type:
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Full Paper |
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First Page:
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11 |
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Last Page:
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18 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The concept of trust and reputation had a long profound impact on the way systems were measured in terms of their
credibility and performance. This has consecutively lead into numerous reputation-based trust management systems being
deployed for various computing environments as a decision support tool for assessing the trustworthiness of participating
parties. In the context of Grid computing, reputation-based trust management systems play an important role for
supporting coordinated resource sharing as they can reduce job execution failure by selecting relatively competent
resources based on aggregated historical recommendations and given job requirements. In this paper, we present the Grid
reputation-policy trust management service (GREPTrust) for managing resource selection in computational grids. This
infrastructure level service encompasses a novel reputation-policy trust model, which enables service consumers (e.g.
monitoring toolkits and resource brokers), to carry out an active participation in the trust and reputation evaluation
processes. This is achieved by enabling service consumers to augment standard reputation queries with a set of
reputation-policy statements rectified as trust decision strategies. Each strategy forms complete trust metrics blueprint for
the reputation algorithm and therefore allows fine-grained resource selection adapted to specific job requirements. |
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