【摘要】 针对当前很多改进的Map Reduce调度算法都未将计算节点安全性考虑在内的问题,通过分析云计算任务调度机制,基于Vague模糊集的理论知识,将模糊决策理论引入到云计算安全调度应用中,提出一种基于模糊决策的云计算安全模型。其基本思想是对云资源进行筛选评判,同时考察多个节点的资源,动态接受可信度高的资源池,拒绝可信度低的资源池。通过模糊评判选择安全的节点,同时结合云计算的调度运算,从而达到资源的最佳利用率,同时兼顾云计算的安全问题,使得分布在云上的资源能满足日益增长的安全需要。并在此基础上进行算法实现与实验分析,实验证明新安全模型对"危险"云进行识别,该模型满足云计算的安全性、高效性,加强了云计算的安全环境。更多还原

【Abstract】 Currently,the security of the computing node isn′t considered into a lot of improved Map Reduce algorithms. By analyzing the task scheduling mechanism of cloud computing and using the theory knowledge of Vague fuzzy set,the fuzzy decision theory is introduced into the application of the cloud computing safety scheduling to propose a cloud computing security model based on fuzzy decision. According to its basic thought,the cloud resource is screened and judged;the resources of multiple nodes are explored;the resource pool with high reliability is accepted dynamically,and the resource pool with low reliability is refused. The security node is selected by means of fuzzy evaluation and the cloud computing schedule operation is combined to realize the best utilization of resources. The cloud computing security issues are combined to make that the resources distributed on the cloud can meet the growing demand for security. The algorithm realization and experimental analysis were performed. The experimental results prove that the new security model can recognize the "dangerous" cloud,meet the security and efficiency requirements of cloud computing,and strengthen the secure environment of cloud computing.更多还原