基于模糊决策的云计算安全模型

发布时间：2018-07-12 12:24

本文选题：云计算 + 云安全　；参考：《现代电子技术》2017年23期

【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。
[Abstract]:In order to solve the problem that many improved Map reduce scheduling algorithms do not take the security of computing nodes into account, this paper analyzes the task scheduling mechanism of cloud computing, based on vague fuzzy sets theory. The fuzzy decision theory is introduced into cloud computing security scheduling application, and a cloud computing security model based on fuzzy decision is proposed. Its basic idea is to screen and judge cloud resources, at the same time to investigate the resources of multiple nodes, to accept the resource pool with high credibility dynamically, and to reject the resource pool with low credibility. In order to achieve the best utilization of resources and the security problem of cloud computing, the resources distributed on the cloud can meet the increasing security needs by selecting the secure nodes by fuzzy judgment and combining the scheduling operation of cloud computing. On this basis, the algorithm implementation and experimental analysis, experimental results show that the new security model to identify the "dangerous" cloud, this model can meet the security and efficiency of cloud computing, and enhance the security environment of cloud computing.
【作者单位】：浙江大学计算机科学与技术学院;义乌工商职业技术学院;
【基金】：2016年度浙江省教育厅高等学校访问学者专业发展项目(FX2016118)
【分类号】：TP309

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