摘要
以雾计算在医院信息服务系统中的应用作为研究的切入点,通过分析用户对本地信息需求量的增大和传统云计算框架下无法满足移动设备应用等方面,提出一种“智能前端化”的雾计算框架应用理念。该框架拥有数据缓存、本地化计算、无线接入三大优越特点,通过分析基于雾计算的医院辅助信息服务系统,来对雾服务器进行研究,研究其技术内容,如多频段负载均衡的接入机制,基于本地信息融合的排队时长查询机制等,并通过真实场景系统测试与性能验证来提出该系统应用的可行性与高效性。
The application of fog computing in hospital information service system is taken as the starting point.By analyzing the increase of users'demand for local information and the inability of traditional cloud computing framework to meet the application of mobile devices,an application concept of"intelligent front-end"fog computing framework is proposed.The framework has three advantages:data caching,localized computing and wireless access.By analyzing the hospital assistant information service system based on fog computing,the fog server is studied.This paper studies its technical content,such as multi-band load balancing access mechanism,queue length query mechanism based on local information fusion,and so on.Through real scene system testing and performance verification,the feasibility and efficiency of the system application are verified.
作者
时瑞华
SHI Ruihua(Qianxi County People's Hospital,Tangshan 063000)
出处
《微型电脑应用》
2019年第12期141-144,共4页
Microcomputer Applications
关键词
云计算
雾计算
数据缓存
无线接入
Cloud computing
Fog computing
Data caching
Wireless access