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Fuzzy Multi-Criteria Based Trust Management in Heterogeneous Federated Future Internet Testbeds

机译:异构联合未来互联网测试平台中基于模糊多准则的信任管理

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A federation of heterogeneous testbeds, which provides a wide range of services, attracts many experimenters from academia and industry to evaluate novel future Internet architectures and network protocols. The candidate experimenter reserves the appropriate testbeds’ resources based on various diverse criteria. Since several testbeds offer similar resources, a trust mechanism between the users and the providers will facilitate the proper selection of testbeds. This paper proposes a fuzzy reputation-based trust framework that is based on a modification of the fuzzy VIKOR multi-criteria decision making method and combines the user’s opinion from previously-conducted experiments with retrieved monitoring data from the utilized testbeds, in order to quantify the reputation of each testbed and the credibility of the experimenter. The proposed framework can process various types of numeric and linguistic data in an on-line fashion and can be easily extended for new types of testbeds and services. Data from active federated testbeds are used to evaluate the performance of the fuzzy reputation-based trust framework under dynamic conditions. Furthermore, a comparison of the proposed framework with another existing state of the art trust framework for federated testbeds is presented, and its superiority is demonstrated.
机译:异构测试平台联合会提供广泛的服务,吸引了许多来自学术界和工业界的实验者来评估新型的Internet架构和网络协议。候选实验者根据各种不同的标准保留适当的测试台资源。由于几个测试平台提供相似的资源,因此用户和提供者之间的信任机制将有助于正确选择测试平台。本文提出了一种基于模糊信誉的信任框架,该框架基于对模糊VIKOR多准则决策方法的修改,并将先前进行的实验中的用户意见与从使用的测试台中获取的监控数据相结合,以量化每个测试平台的声誉和实验者的信誉。所提出的框架可以在线方式处理各种类型的数字和语言数据,并且可以轻松地扩展为新型测试平台和服务。来自活动联合测试平台的数据用于评估动态条件下基于模糊信誉的信任框架的性能。此外,将提出的框架与另一个现有的联邦测试平台信任框架的比较进行了比较,并证明了其优越性。

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