The Research Of RFID Middleware Load Balancing In Internet Of Things

In recent years things have been rapid development of technology in the information technology, beginning from the main communication is communication between people, and then developed into objects, things and events communication. In the rapid development of the Internet of Things RFID technology is the key and cornerstone. RFID technology has been widely used in our daily life, such as production, logistics, education, transportation, medicine, etc. are widely used in industry, RFID systems. RFID technology is one of this century’s top ten important core technology. Application of RFID technology in various fields, the management, monitoring and other aspects of efficient operation, so as to greatly improve the quality of products and services.In the RFID technology, RFID middleware is the RFID system acts on the upper simplification package, RFID middleware appears enterprise developers can greatly save the cost of RFID systems can also improve the device to connect, manage, original label information filtering transcoding and reliability, but also reduce the burden on the application layer development, enables a greater degree of increase efficiency in the development of RFID applications.Today’s RFID technology and data to be processed is the mass, in order to put these massive data input to the RFID middleware component faces several challenges to deal with this, one is such a large amount of data to be able to deal with, that have reasonable RFID middleware architecture makes middleware capable of handling such data; second is to deal with a reasonable, accurate and fast, which requires a balanced degree RFID middleware load is higher. So this is to be studied in this paper are two main aspects.This thesis aims to data aggregation, data calculation, functional components reuse proceed propose a more reasonable RFID middleware architecture and improve existing major RFID middleware architecture system, making the ability to handle huge amounts of data has been improved. The other is through the analysis of existing load balancing applications and as a research base on the middleware, and then propose propose two new load balancing applications on RFID middleware on load balancing. Both load balancing primarily from agency services, aspects of mobile agent system mechanisms, distributed ALE services and load distribution pooling research, and the use of mathematical graph theory and queuing theory knowledge. The final chapter of this paper is to structure and load balancing algorithm proposed by the results of simulation experiments to analyze and draw conclusions.Through the study of big data and massive data processing capacity increased in RFID middleware, one is related to RFID middleware to solve the bottleneck of two processing capacity is now facing, on the other hand is the future of RFID middleware technology to provide some Help and draw on.