Research And Implementation Of Big Router Plug-in Technology For Intelligent Router Based On Multi-dimensional Perception

With the development of the Internet,the traditional router has become a must for users to access to the Internet.Due to the problems of function,performance and other aspects,the traditional router can not meet the need for user's superior Internet experience.Smart router with its high performance,openness and other characteristics come into the people's vision.However,the current smart router with an open platform for users to install application plug-ins,which has no awareness of users' action,can not acquire enough information and optimize the user experience.At the same time,as the user's access to the Internet,currently smart router can not provide a good way of accumulating big data assets and acquisition of traffic values.Accordingly,this paper presents a framework for big data plug-in system based on smart router.With the capabilities of collecting users' data,the plug-ins have multidimensional awareness for Internet traffic based on deep packet inspection technology.The plug-ins also have the ability to push precise information,which is based on the strategies of time,content,form,and so on.In addition,the plug-in also has the ability to upload user's behavior data,which enable communications operators or commercial WIFI operators to accumulate big data assets.In view of this research goal,the main contributions and innovations of this paper are as follows:1)Presents a framework of big data plug-in system based on smart router.The framework can achieve the goal of traffic collection,data uploading,multidimensional awareness,accurate information pushing and other capabilities.It also provides a platform for plug-in management and big data analysis,which form a complete set of plug-in management platform system.2)Big data plug-ins use the technology of multidimensional awareness to achieve the goal of extracting and refining the user's identity,business applications,terminals,location and other multidimensional information.3)In this paper,Nginx,Node.js and ActiveMQ are used to design a technical scheme to support high-concurrency data and analyze message,which solve the problems caused by uploaded data with high concurrency.4)This paper presents a URL fast matching algorithm to improve the efficiency of match between URL and multiple strategies in precise push.5)After analyzing the data collected by plugin-in on the big data platform,it can acquire the user's accurate identity information and terminal information.