首页 | 本学科首页   官方微博 | 高级检索  
     

基于物联网技术的计算机网络数据分类存储系统的设计
引用本文:许丽媛.基于物联网技术的计算机网络数据分类存储系统的设计[J].移动信息.新网络,2023,45(7):245-247.
作者姓名:许丽媛
作者单位:聊城市技师学院(聊城高级工程职业学校) 山东 聊城 252000
摘    要:为提高计算机网络数据的存储效率,文中设计了一种基于物联网技术的计算机网络数据分类存储系统。在该设计中,物联网技术架构为多层结构,分别为数据感知层、信息交互层和数据存储层。该系统可以利用数据感知层来感知、采集数据,通过信息交互层实现计算机网络数据的传输与交互,结合分簇算法并对采集到的计算机网络数据进行分类处理,将分类后的数据传输至存储层,同时将计算机网络存储于固定的数据库内,实现计算机网络数据的分类存储。实验表明,该系统存储响应时间较短,整体存储效率较高,具有较强的实用性。

关 键 词:物联网技术  计算机网络  网络数据  分类存储
收稿时间:2023/5/25 0:00:00

Design of Computer Network Data Classification Storage System Based on Internet of Things Technology
XU Liyuan.Design of Computer Network Data Classification Storage System Based on Internet of Things Technology[J].Mobile Information,2023,45(7):245-247.
Authors:XU Liyuan
Affiliation:Technician College of Liaocheng City (Liaocheng Advanced Engineering Vocational School),Liaocheng,Shandong 252000 ,China
Abstract:In order to improve the storage efficiency of computer network data, a computer network data classification and storage system based on Internet of Things technology is designed in this paper. In this design, the Internet of Things technology architecture is a multi-layer structure, including data perception layer, information interaction layer and data storage layer. The system can use the data perception layer to sense and collect data, realize the transmission and interaction of computer network data through the information interaction layer, combine the clustering algorithm and classify the collected computer network data, and transmit the classified data to the storage layer. At the same time, the computer network is stored in a fixed database to realize the classified storage of computer network data. Experiments show that the system has short storage response time, high overall storage efficiency, and strong practicability.
Keywords:
点击此处可从《移动信息.新网络》浏览原始摘要信息
点击此处可从《移动信息.新网络》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号