摘要
为了提高软硬件应用集成数据库的内存容量,需要进行内存排序优化,文中基于本体特征映射,提出面向软硬件应用集成的数据库内存排序优化方法.采用存储节点的优化分配方法进行数据库拓扑结构设计,构建数据库内存优化存储结构模型.提取数据库的语义结构映射特征量,通过语义本体特征映射方法进行数据库存储空间优化,从而建立数据库内存排序控制模型;结合模糊度检测和资源信息优化调度的方法,进行软硬件应用集成数据库的内存结构分区设计,通过网格化的分区块存储协议设计,实现软硬件应用集成数据库内存排序优化.仿真结果表明,采用该方法进行软硬件应用集成数据库内存排序的自适应性较好,提高了数据库的存储空间,降低了存储开销.
In order to improve the memory capacity of the software and hardware application integration database,it is necessary to optimize the memory sorting.Based on Ontology feature mapping,this paper proposes an optimization method of database memory sorting for software and hardware application integration.The optimal allocation method of storage nodes is used to design the database topology,and the database memory optimization storage structure model is constructed.The semantic structure mapping feature quantity of database is extracted,and the database storage space is optimized by semantic ontology feature mapping method,so as to establish the database memory sorting control model;combined with fuzzy degree detection and resource information optimization scheduling method,the memory structure partition design of software and hardware application integration database is carried out,and the grid partition block storage protocol design is implemented Software and hardware application integration database memory sorting optimization.The simulation results show that this method has better adaptability for the software and hardware application integration database memory sorting,improves the storage space of the database and reduces the storage cost.
作者
孙杨
Sun Yang(Computer Engineering College,Jimei University,Xiamen Fujian 361021)
出处
《东北电力大学学报》
2020年第6期100-104,共5页
Journal of Northeast Electric Power University
基金
集美大学校级教改项目"计算机专业学生系统能力培养和计算机系统结构课程设置的研究"(C15994)。
关键词
软硬件
应用集成
数据库
内存
排序
存储空间
Software and hardware
Application integration
Database
Memory
Ordering
Storage space
