Service Operator-Aware Trust Scheme for Resource Matchmaking across Multiple Clouds
Abstract—A service operator-aware trust scheme SOTS for resource matchmaking across < Final Year Projects 2016 > multiple clouds. Through analyzing the built-in relationship between the users, the broker, and the service resources, this paper proposes a middleware framework of trust management that can effectively reduces user burden and improve system dependability. Based on multidimensional resource service operators, we model the problem of trust evaluation as a process of multi-attribute decision-making, and develop an adaptive trust evaluation approach based on information entropy theory. This adaptive approach can overcome the limitations of traditional trust schemes, whereby the trusted operators are weighted manually or subjectively. As a result, using SOTS, the broker can efﬁciently and accurately prepare the most trusted resources in advance, and thus provide more dependable resources to users.
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