摘要
智慧校园是信息化技术发展的必然产物,将大数据技术应用于高校的信息化建设是实现决策型智慧校园的关键。依据《智慧校园总体框架》和智慧城市建设参考模型将决策型智慧校园系统架构设计为数据采集层、网络通信层、计算存储层、数据服务支撑层和智慧应用层,同时讨论系统中大数据的类型和分布式数据库的优势及利用MPP、Hadoop混合模式存储大数据的设计,通过研究设计一种新的决策型智慧校园架构,为决策型智慧校园的建设提供依据。
Smart campus is the inevitable product of the development of information technology,and applying big data technology to the information construction of colleges and universities is the key to realize the decisionmaking smart campus.According to the“General Framework of Smart Campus”and the reference model of smart city construction,the architecture of decision-making smart campus system is designed as data acquisition layer,network communication layer,computing storage layer,data service support layer and smart application layer,at the same time,the types of big data in the system,the advantages of distributed databases and the use of MPP,Hadoop hybrid mode to store big data are discussed,and a new decision-making smart campus architecture is researched and designed to provide a basis for the construction of decision-making smart campus.
作者
陈铁权
CHEN Tiequan(Liaoning Finance Vocational College,Shenyang 110122,China)
出处
《船舶职业教育》
2021年第6期35-38,共4页
Shipbuilding Vocational Education
基金
辽宁金融职业学院2021年度校级科研课题(LJXJ202101)。
关键词
大数据
决策型
高校
智慧校园
big data
decision-making
colleges and universities
smart campus