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A Fuzzy Based Trust Evaluation Model for Service Selection in Cloud Environment

机译:云环境中服务选择的基于模糊的信任评估模型

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摘要

Cloud computing is a popular computing paradigm among several computing environments, but a deficit in trust among the users and the service providers prevents the large adoption of the cloud in most of the businesses. Cloud service providers should give assurances for providing the reliable services to the cloud consumers. The proposed work explains about the architecture of the trust evaluation model and considered four service measurement indexes (SMI) namely: availability, success rate, turnaround efficiency and feedback about a resource. The trust value for each resource is estimated by the fuzzy evaluation engine in which a fuzzy input set is derived from the SMI parameters. By applying a fuzzy inference rule on fuzzy input sets will yield a fuzzy output set and finally, the most trusted resource value is calculated by defuzzification process called center of gravity. The proposed work is done the implementation by using cloudsim with jfuzzycloud.
机译:云计算是几个计算环境中的流行计算范例,但用户和服务提供商之间的信任赤字可以防止大多数业务中的云采用了很大的采用。云服务提供商应提供保证为云消费者提供可靠的服务。拟议的工作介绍了信任评估模型的架构,并考虑了四个服务测量索引(SMI)即:可用性,成功率,转变效率和关于资源的反馈。通过模糊评估引擎估计每个资源的信任值,其中模糊输入集由SMI参数导出。通过在模糊输入组上应用模糊推理规则将产生模糊输出集,最后,通过Defuzzzification过程计算最多可信赖的资源值,称为重心。使用Cloudsim使用JfuzzyCloud进行了拟议的工作。

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