摘要
提出基于有向图模型设计的网络数据库高效检索节点分布设计方法。首先构建网络数据库检索节点的分布模型,分析数据结构,对检索节点的存储数据语义特征进行信息融合处理;然后采用有向图模型分析方法检索网络数据库节点属性聚类和自适应调度,实现数据库的高效检索节点有向图模型设计;最后设计仿真实验进行性能测试,实验结果表明,该方法有效提高了网络数据库的检索效率,尤其对超大规模数据库检索的执行效率更高。
A directed graph model based design method of the network database efficient retrieval mode distribution is pro- posed. The distribution model of the network database retrieval node was constructed to analyze the data structure, and perform the information fusion for the storage data semantic feature of the retrieval mode. The analysis method of the directed graph model is used to retrieve the node attribute clustering and adaptive dispatching of the network database to design the directed graph model of the database efficient retrieve node. The performance was tested with simulation experiment. The experiment results show this method has improved the retrieval efficiency of the network database effectively, and has high execution efficiency es- pecially for the super-large scale database retrieval.
出处
《现代电子技术》
北大核心
2017年第5期139-142,共4页
Modern Electronics Technique
基金
中央高校基本科研业务费专项资金资助(3132016112)
关键词
网络数据库
数据库检索
节点分布设计
有向图模型
network database
database retrieval
node distribution design
directed graph model
