基于凸函数证据理论的关联感知云服务信任模型

针对大规模分布式云计算系统中的服务可信度辨别问题,提出一种基于凸函数证据理论的关联感知云服务信任模型。对云计算系统中云服务提供商、服务和用户之间的信任关系进行形式化描述,充分挖掘了同一服务商中的不同云服务之间的关联性,利用凸函数证据理论对有序命题的处理能力,构建了云计算系统中的可信服务推荐方法,根据用户需求为其提供合理可靠的云服务。与经典证据理论方法的对比结果表明,基于凸函数证据理论的关联感知云服务信任模型在保证有效性和健壮性的同时,充分利用了云计算系统中云服务之间的关联信息,能够根据用户的请求提供合理的云服务。

A relevance-aware cloud service trust modelbased on convex evidence theory

Aiming at distinguishing service credibility in the large scale distributed cloud computing system, we propose a relevance aware cloud service trust model based on convex evidence theory. The model formally describes the trust relationship among service providers, services and users in the cloud computing system. Then, the correlation between different services from the same service provider is revealed. Furthermore, the model uses the convex evidence theory to deal with ordered propositions and finally builds a credible service recommendation method for the cloud computing system, which can provide reasonable and reliable cloud services for users according to user needs. Through the comparison with the classical evidence theory, the experimental results demonstrate the validity and robustness of the relevance aware cloud service trust model based on convex evidence theory while can make full use of correlation information among cloud services in the cloud computing system and provide reasonable cloud services according to user requests.