基于服务质量和恶意结点消除的云计算环境信任模型分析

云计算环境下如何为应用程序选择可靠的服务是一个关键问题。论文借鉴人类社会建立推荐信任模型的方法,考虑云计算服务结点之间推荐信息的不确定性,提出基于服务提供的QoS属性为参考元素建立基本可信度函数,将历史交互信息转化为结点之间的推荐偏好意见,并采用衰减算子和融合算子综合不同云计算结点的推荐信息;针对推荐结点中的恶意结点,采用基于三角模糊数的方法对推荐结点进行分类,并采用不同的衰减算子计算每个推荐结点的推荐信任空间。分析和仿真实验证明该模型的有效性。

Research on A Trust Model Based on the QoS and Malicious Node Deletion

In cloud computing environment nodes provide services with QoS guarantee,so how to choose a credible service is a critical problem.In this paper,it is proposed that a kind of mechanism how to construct basic probability assignment based on the QoS constraints that the services provide,and in the process of building the basic probability assignment a partial relation is induct ed to remove the worthless history information and considering the uncertain information.And based on the discounting operator and the consensus cooperator,the reputation options from different nodes can be integrated.In order to prevent being cheating by the ma licious nodes,the method of triangular fuzzy number is used to sort the different nodes.Then the deferring operator is inducted to compute the reputation opinion.Simulation tests prove that the model can tackle the trust problem in a simple and efficient way.