Visible to the public Service Operator-Aware Trust Scheme for Resource Matchmaking across Multiple Clouds

TitleService Operator-Aware Trust Scheme for Resource Matchmaking across Multiple Clouds
Publication TypeJournal Article
Year of Publication2015
AuthorsXiaoyong Li, Huadong Ma, Feng Zhou, Xiaolin Gui
JournalParallel and Distributed Systems, IEEE Transactions on
Date PublishedMay
KeywordsAvailability, Cloud broker, cloud computing, Computational modeling, Entropy, information entropy, information entropy theory, middleware, middleware framework, multi-cloud environment, multicloud environment, multidimensional resource service operator, Registers, resource allocation, resource matchmaking, security, service operator, service operator-aware trust scheme, SOTS, Trust management, trust scheme, Trusted Computing

This paper proposes a service operator-aware trust scheme (SOTS) for resource matchmaking across 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. Our experiments yield interesting and meaningful observations that can facilitate the effective utilization of SOTS in a large-scale multi-cloud environment.

Citation Key6810192