基于数据隐私保护的分布式索引算法研究

Research on Distributed Index Algorithm Based on Data Privacy Protection

为了保证查询者能够在云平台上更快速地得到相应的数据信息,本文首先构建了PR-CAN的整体层次,通过双层索引建立起本地-云端的索引形式,在各个服务器形成分布式的查询索引网络。在本地索引PR-tree结点和全局CAN结点之间找到合适的映射关系,并证明了该方式能够保证CAN索引覆盖到每一个PR-tree结点,保证了本系统查询的准确性。仿真实验表明:PR-CAN索引查询系统能够在搭建的实验云环境中正常运行,运行效率、可靠性、安全性均表现良好,能够有效适应各类云计算应用。

To ensure the inquirers on cloud platform to more quickly get the corresponding data information, this paper constructed the overall level, through the double index established local-index form of the cloud, in every form distributed index of the query network server. The proper mapping relationship is found between local index node and global node, and it proves that the method can guarantee the index coverage to every node and ensure the accuracy of the system query. Simulation results showed that the index can query system in building a cloud environment, good efficiency, reliability, security, performance, can effectively to adapt to all kinds of cloud computing applications.