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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >A trust model between cloud entities using fuzzy mathematics
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A trust model between cloud entities using fuzzy mathematics

机译:使用模糊数学的云实体之间的信任模型

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摘要

Many of modern systems and applications such as cloud computing, grid computing, pervasive computing, P2P networks and even web applications have employed the concepts of trust. Trust is a level of subjective probability between two entities, a trustor (i.e. source entity) and a trustee (i.e. target entity), which is formed through the direct observation nature and/or recommendation from trusted entities. Trust relationship is the most complex relationship between trustor and trustee because it is extremely subjective, non-symmetric, partial transitive, dynamic, context-dependant, uncertainty, and difficult to be evaluation and establish. Today, there is no special trust evaluation model for cloud computing environment. Hence, in this paper, we present a trust model based on fuzzy mathematics named TMFM in cloud computing environment according to success and failure interaction between cloud entities so that the fuzzy direct trust relation is calculated based on direct experiences between trustor and trustee also, trustor can builds a fuzzy Indirect trust relation with trustee through his acquaintances. Simulation results show that the TMFM model has some identification and containment capability in synergies cheating, promotes interaction between entities, and improves the performance of the entire cloud environment.
机译:许多现代系统和应用程序,例如云计算,网格计算,普适计算,P2P网络甚至Web应用程序,都采用了信任的概念。信任是指两个实体之间的主观概率水平,即委托人(即源实体)和受托人(即目标实体),这是通过直接观察性质和/或来自可信实体的推荐而形成的。信任关系是受托人和受托人之间最复杂的关系,因为它是非常主观的,非对称的,部分可传递的,动态的,依赖于上下文的,不确定的且难以评估和建立。如今,没有针对云计算环境的特殊信任评估模型。因此,在本文中,我们根据云实体之间的成功与失败相互作用,在云计算环境中提出了一种基于模糊数学的信任模型,称为TMFM,从而基于信任者与受托者之间的直接经验来计算模糊直接信任关系。可以通过与受托人的相识建立模糊的间接信任关系。仿真结果表明,TMFM模型在协同作弊中具有一定的识别和遏制能力,可以促进实体之间的交互,提高整个云环境的性能。

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