基于角色等级树的光网络信息多域云访问控制研究

为了提高光网络信息多域云访问和调度能力,提出基于角色等级树的光网络信息多域云访问控制方法。构建光网络信息多域云访的分布式存储结构模型,结合特征重建重组方法进行光网络信息多域云数据的结构重组,在高维特征空间中提取光网络信息多域云数据的关联规则性特征量,采用模糊相关性融合方法进行光网络信息多域云数据信息融合和特征调度,结合谱分析方法进行光网络信息多域云访问和信息检索,采用角色等级树进行光网络信息多域云访问过程中的分类控制,提高光网络信息多域云数据的访问和调度能力。仿真结果表明,采用该方法进行光网络信息多域云访问控制的特征分辨力较强,准确性较好,数据访问的查准性较好。

Research on multi-domain cloud access control of optical network information based on role hierarchy tree

In order to improve the multi-domain cloud access and scheduling abilities of optical network information,a multi-domain cloud access control method for optical network information based on role hierarchy tree is proposed.The distributed storage structure model of optical network information multi-domain cloud access is constructed.Combined with feature reconstruction method,the structure of optical network information multi-domain cloud data is reorganized.The association regularity feature quantity of optical network information multi-domain cloud data is extracted in high-dimensional feature space.And the fuzzy correlation fusion method is used for optical network information multi-domain cloud data information fusion and feature scheduling.Combined with spectral analysis method,multi-domain cloud access and information retrieval of optical network information are carried out,and role hierarchy tree is used to classify and control the process of optical network information multi-domain cloud access,so as to improve the access and scheduling ability of optical network information multi-domain cloud data.The simulation results show that the method has strong feature resolution,good accuracy and good data access accuracy.