基于云计算的密集型数据库资源快速检索方法研究

Research on Fast Retrieval Method of Intensive Database Resources Based on Cloud Computing

对密集型数据库中的资源数据快速检索,提高数据库的访问能力,提出一种基于云计算的密集型数据库资源快速检索方法.构建密集型数据库资源分布结构模型并进行密集型数据库资源的统计数据分析,结合模糊综合聚类方法进行密集型数据库资源的信息聚类处理,在聚类中心进行密集型数据库资源信息的关联特征挖掘,提取密集型数据库资源的平均互信息熵特征量,根据特征提取结果进行线性规划调度,采用云计算进行密集型数据库资源的自适应调度和模糊决策,根据调度结果实现密集型数据库资源的快速检索,提高密集型数据库资源信息的聚类性和特征融合性.仿真结果表明,采用该方法进行密集型数据库资源检索的聚类性较好,检索的查准率较高.

A fast retrieval method of resource data in intensive database based on cloud computing to improve the access ability of databases is presented.The distributed structure model of intensive database resources is constructed and the statistical data analysis of intensive database resources is carried out.The information clustering processing of intensive database resources is carried out by combining fuzzy comprehensive clustering method.The association feature mining of intensive database resource information is carried out in the cluster center,the average mutual information entropy feature quantity of intensive database resource is extracted,and the linear programming scheduling is carried out according to the feature extraction result.The adaptive scheduling and fuzzy decision of intensive database resources are carried out by cloud computing,and the fast retrieval of intensive database resources is realized according to the scheduling results. The clustering and feature fusion of intensive database resources are thus improved.The simulation results show that this method has good clustering ability and high retrieval precision.