基于MongoDB和Storm的个人健康服务系统设计与实现
[Abstract]:With the development of society and the improvement of living standard, people pay more and more attention to health, and more people join the ranks of sports and fitness. Especially with the rise of the Internet, intelligent wearable devices continue to emerge, for us to provide a large number of data, which can provide us with convenient personal health and exercise and fitness monitoring services. However, at this stage, the health service system still has obvious shortcomings in meeting the needs of a large number of data storage and expansion and real-time data processing, Therefore, it is of great significance to solve the problems of large amount of data storage scalability and real-time data processing at the same time. In this paper, based on the demand of the user for a large amount of data storage and expansion of personal health service and the real-time processing of data, a well-functioning personal health service system is designed to provide users with sports and health services. In this paper, a scheme combining MongoDB cluster and Storm framework is proposed to access and analyze the user data in real time. The real-time processing scheme makes up for the limitation of using timing task to simulate real-time processing, and improves the efficiency of data processing and enhances the data expansibility. In addition, this paper completes the detailed design of a personal health service system, including requirements analysis, architecture design, core service module design, database design and system data service interface design. Finally, JavaEE,MongoDB,Spring and JSP are used to realize the system, and the function and performance of the system are tested. The result of function test shows that the system has realized the design of the whole architecture, the core function module, the database and the system interface. The experimental results show that the performance of the new scheme is 40% higher than that of the one using timing task. It can meet the real-time needs of users, and the scheme is scalable, and it can cope with the change of subsequent data volume.
【学位授予单位】:北京邮电大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TP311.52
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