Research And Implementation Of High Scalability Internet Of Things Framework

The Internet of things,is an important part of the new generation of information technology,it realizes the interconnection between the human and the thing,the thing and the thing with the perceptual recognition and the network communication technology.In the current Internet of things industry,products and related services are moving across the industry,diversification,rapid iteration of the trend of development,however,most of the traditional Internet of things system is facing a single field,forming the isolated,vertical-oriented development trend,it is difficult to rapidly respond to the diversification of user demand and multi-element integration of service innovation.In order to solve the deficiencies of traditional IOT architecture,this dissertation studied and analyzed the Internet of things system from the software level,focuses on the coping ability and expansion ability,established a highly scalable IOT system framework,this framework can improve product iteration speed and project development efficiency,improve service's capacity of integration and the horizontal expansion,enhance the competitive advantage in the IOT industry persistently.This dissertation firstly outlines the background and value of the research,the status of the research.Subsequently,combined with engineering design concept in the recent years,using non blocking I/O and event driven characteristics of Node.js,this dissertation proposed the highly scalable Internet of things framework model,and from the three aspects of architecture design,software and adaptive data compression has carried on the thorough research and discussion.The research work of this paper is as follows:1.This dissertation elaborated the design requirements and design concepts of the high scalability Internet of things framework,and puts forward five layers model.Through the modular management,interface integration,the underlying operating mechanism,the structure and interface design of each layer,explicate the design details and implementation scheme of the framework.Among these,in order to solve the problem of heterogeneous data and interface between different layers or modules,and leaerning the process of the factory for preference,the data processing method based on pipeline structure is put forward innovatively.2.This dissertation introduced the software adaptive MAPE model and points out its deficiency in practical application,and proposes an improved scheme based on component and asynchronous processing,which is called CMAPE model.And it is applied to the architecture of the Internet of things in this paper,so that the IOT system can be adjusted adaptively with the change of the data scale.The correctness and validity of the improved model and the implementation scheme are verified by the performance test.3.This dissertation analyzed and studied the lossless data compression LZW algorithm,optimizes the LZW from three aspects: the dictionary mapping,the memory allocation and the dictionary storage structure.The superiority of the improved algorithm in time efficiency is proved by comparative experiments.The improved algorithm is combined with the Internet of things to improve the efficiency of data transmission.