The Design And Implementation Of Self-health Services System Based On MongoDB And Storm

Along with the development of society and the improvement of living standards,people pay much attention to health,and more and more people start to take part in sports activities and do body-building exercise.Especially the rise of the Internet and the constantly appearance of intelligent wearable equipment can continually provide us with large amounts of data.This can provide us with convenient personal health and monitoring service.However,most existing personal health service systems have defect in meeting the demand of storage and expansibility of large amount of data as well as the demand of real time data processing.Therefore,satisfying the two demands above in the same time has important significance.To overcome the disadvantages of conventional systems,this thesis designed a set of fully functional personal health service system which not only meet people's comprehensive service demand,but also meet people's real-time data processing requirements.Newly designed system analyzing users' health data and provide valid advice.It is worth emphasizing that new system adopts the scheme which combined Storm framework and MongoDB cluster to process the users'data in real-time.This scheme makes up for limitations of the existing schemes which use timing task to simulate real-time processing and improves the efficiency of data processing;In addition,this thesis complete the system detail design work based on the proposed framework which mainly contain the requirement analysis,the architecture design,the core service module design and the design of database and the service interface of the system.Finally,by using JavaEE,MongoDB,Spring,JSP technologies,this thesis implemented the system,and also completed the testing on the performance and the function of system.The function test results show that it has realized all the design work including architecture design,key system module design,database design and system interface design.The validity and performance test results on the real-time processing framework show that the system meets users' demands for real-time data processing and improves the processing efficiency.In addition,the framework is extensible,so it can cope with data growth.Compared with the traditional scheme of using timing task to process data,newly designed processing scheme can improve the performance of real-time data processing and it can satisfy users' real-time data processing requirements.The scheme is scalable,so it can adapt to the increasing data in the future.