Research And Implementation On Hybrid Data Storage Model Of WIFI Fence Big Data Analysis System

With the popularization of e-commerce,social networking and mobile Internet applications,users of the Internet contribute a growing number of data.The growth of these mass data brings about increasingly serious system performance problems,and the traditional information systems inevitably meet great challenges.Therefore,how to access mass data with low-cost storage and high performance has become the primary problem in the system development process.WIFI fence big data analysis system described by this thesis is a web information system based on SpringMVC + MyBatis framework,which is designed and developed by our laboratory.With the rapid g/rowth of data collected by WIFI fence equipment,owing to the requirement of data processing capability by application system,it becomes inapplicable method which improves performance by simply utilizing vertical scaling technique(Scale-up)of the traditional relational databases.So the thesis takes the system requirements and data characteristics as the starting point and the foothold,and in order to develop an efficient,reliable and secure information system,it needs to analyze,design and implement the data storage model.The main work of this thesis is focused on the following aspects:firstly,it classifies and summaries the existing data storage models and their application scenes,and their own design concepts are studied.Secondly,it uses the hybrid data storage model based on OldSQL+ NoSQL to design and implement the data storage scheme of system.Apart from this,the performances of data storage and query are given for illustrating the scheme's performance.Thirdly,the key problems encountered during design are studied and their solutions are provided so as to accumulate rich experience for the development of information systems.