物联网中RFID中间件的负载均衡研究
发布时间：2018-11-08 19:33
【摘要】：在最近的十年中物联网的技术已经在信息技术中快速的发展,由开始的主要通信是人与人的通信,进而发展成人与物、物与事的通信。而在物联网迅速的发展中RFID的技术则是其中的关键和基石。RFID技术已经在我们的日常生活中普遍应用,如生产、物流、教育、交通、医药等等行业中都广泛的使用RFID系统。RFID技术是本世纪中十大重要核心技术之一。RFID技术在各领域的应用中,使得管理、监控等方面高效的运行,以至于大大提高产品和服务的质量。而在RFID技术中,RFID中间件则是RFID系统中起到对上层的简化封装的作用,RFID中间件的出现可以大大的节约企业开发RFID系统的成本,还可以提高设备连接、管理,原始标签信息转码与过滤的可靠性,还能减轻应用层开发的负担,使得在开发RFID应用系统时能较大程度的提高效率。而如今的RFID技术所要处理的数据则是海量的,要想把这些海量的数据输入到RFID中间件部件中处理这面临着几个难题,一是如此大的数据量要能处理,那要有合理的RFID中间件的架构,使得中间件有能力处理这些数据;二是要处理的合理、准确和快速,这就需要RFID中间件的负载的均衡度要高。所以这就是本文所要研究的主要两个方面。本文旨在从数据聚合、数据计算、功能组件的复用着手提出一种比较合理RFID中间件的架构的和改进现有的主要的RFID中间件的架构体系,使得在处理海量数据的能力有所提高。另一方面是通过分析现有的负载均衡在中间件上应用并作为研究基础,进而提出负载均衡上提出两种应用在RFID中间件上全新的负载均衡。这两种负载均衡主要是从代理服务、移动代理、系统机制、分布式的ALE服务和负载分配池等方面研究的,并且运用数学中的图论和排队论的知识。本文的最后一章是对所提出的架构和负载均衡算法进行模拟实验的结果进行分析,并得出结论。通过对大数据和海量数据在RFID中间件中处理能力提高的研究,一方面是解决现在所面临的两大有关RFID中间件处理能力的瓶颈,另一方面是对未来RFID中间件技术提供一定的帮助和参考借鉴。
[Abstract]:In the last ten years, the technology of Internet of things has developed rapidly in the information technology, from the beginning, the main communication is the communication between people and people, and then the communication between people and things, things and things. 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, RFID system is widely used in medicine and other industries. RFID technology is one of the ten most important core technologies in this century. In the application of RFID technology in various fields, it makes the management, monitoring and other aspects run efficiently. To greatly improve the quality of products and services. In RFID technology, RFID middleware plays a role of simplifying and encapsulating the upper layer in RFID system. The appearance of RFID middleware can greatly save the cost of developing RFID system, and can also improve the connection and management of equipment. The reliability of the original tag information transcoding and filtering can also lighten the burden of the application layer development, so that the efficiency can be greatly improved when developing the RFID application system. But today's RFID technology has a huge amount of data to deal with. If you want to input these huge amounts of data into the RFID middleware components, there are several problems. One is that such a large amount of data has to be able to handle. There must be a reasonable RFID middleware architecture that enables the middleware to process the data; The second is to deal with the reasonable, accurate and fast, which requires a high load balance of RFID middleware. So this is the main two aspects of this study. The purpose of this paper is to propose a more reasonable architecture of RFID middleware and to improve the existing architecture of main RFID middleware from the perspective of data aggregation, data computing, and reuse of functional components, so as to improve the ability to deal with large amounts of data. On the other hand, by analyzing the application of load balancing in middleware and taking it as the research foundation, the paper puts forward two new load balancing applications in RFID middleware. These two kinds of load balancing are mainly studied from the aspects of agent service, mobile agent, system mechanism, distributed ALE service and load distribution pool, and apply the knowledge of graph theory and queuing theory in mathematics. In the last chapter, the simulation results of the proposed architecture and load balancing algorithm are analyzed and a conclusion is drawn. Through the research of big data and magnanimous data processing ability improvement in RFID middleware, on the one hand, it is to solve the bottleneck of RFID middleware processing ability which is facing now. On the other hand, it provides some help and reference to the future RFID middleware technology.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP391.44;TN929.5
本文编号：2319450
[Abstract]:In the last ten years, the technology of Internet of things has developed rapidly in the information technology, from the beginning, the main communication is the communication between people and people, and then the communication between people and things, things and things. 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, RFID system is widely used in medicine and other industries. RFID technology is one of the ten most important core technologies in this century. In the application of RFID technology in various fields, it makes the management, monitoring and other aspects run efficiently. To greatly improve the quality of products and services. In RFID technology, RFID middleware plays a role of simplifying and encapsulating the upper layer in RFID system. The appearance of RFID middleware can greatly save the cost of developing RFID system, and can also improve the connection and management of equipment. The reliability of the original tag information transcoding and filtering can also lighten the burden of the application layer development, so that the efficiency can be greatly improved when developing the RFID application system. But today's RFID technology has a huge amount of data to deal with. If you want to input these huge amounts of data into the RFID middleware components, there are several problems. One is that such a large amount of data has to be able to handle. There must be a reasonable RFID middleware architecture that enables the middleware to process the data; The second is to deal with the reasonable, accurate and fast, which requires a high load balance of RFID middleware. So this is the main two aspects of this study. The purpose of this paper is to propose a more reasonable architecture of RFID middleware and to improve the existing architecture of main RFID middleware from the perspective of data aggregation, data computing, and reuse of functional components, so as to improve the ability to deal with large amounts of data. On the other hand, by analyzing the application of load balancing in middleware and taking it as the research foundation, the paper puts forward two new load balancing applications in RFID middleware. These two kinds of load balancing are mainly studied from the aspects of agent service, mobile agent, system mechanism, distributed ALE service and load distribution pool, and apply the knowledge of graph theory and queuing theory in mathematics. In the last chapter, the simulation results of the proposed architecture and load balancing algorithm are analyzed and a conclusion is drawn. Through the research of big data and magnanimous data processing ability improvement in RFID middleware, on the one hand, it is to solve the bottleneck of RFID middleware processing ability which is facing now. On the other hand, it provides some help and reference to the future RFID middleware technology.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP391.44;TN929.5
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