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Study On Chord-based Object Discovery Service Architecture For The Internet Of Things

Posted on:2014-07-28Degree:DoctorType:Dissertation
Country:ChinaCandidate:D G XuFull Text:PDF
GTID:1228330425473278Subject:Computer system architecture
Abstract/Summary:PDF Full Text Request
In the Internet of Things (IoT), the basic core of functional requirements are resource discovery services, including:object name service (ONS), is imaged for the static nature related to the specified product, discovery Service (DS) is designed for the dynamic nature related to specified item, of supply chains and networks. The implement of all the functions are dependent on these two core discovery services that provide the link between the service consumers (user) and service providers (EPCIS), it is the fundamental problem to be solved for IoT resource discovery. EPCglobal, the most authoritative IoT standards organization, the study on its EPC Discovery Service (EPC Discovery Service, EPCDS) is currently one of the hotspots.The current findings related on IoT resource discovery still cannot meet the overall performance requirements on high efficient of item-level query for massive data, the system scalability, reliability and and security access. Therefore, through introducing the DHT-based Chord algorithm and integrating organically ONS and DS into the ODS (Object (resource) Discover Service), the new solution—object discovery service architecture (ODSA), a distributed item-level object discovery service architecture using Chord for the IOT, is provided. First, the Single-Chord-Ring framework of ODS A (SR-ODSA) is given to make it inherit good features of DHT about scalability, fault tolerance, load balancing, and self-organization capabilities, has a better efficiency of resource discovery. And, the experimental comparisons to the IoT resource discovery architecture proposed by Huang et al are given to verify the performance advantage of SR-ODSA.Since the dynamic nature of the IoT data, the resource discovery efficiency should be concerned, while the real-time of data can not be ignored. However, the current resource discovery services for IoT do rarely pay attention to the issue of performance tradeoff between lookup efficiency and real-time. Therefore, for this problem, based on SR-ODSA, further study of ODS A on the issue of performance tradeoff between lookup efficiency and real-time is provided, which gives related mechanisms or algorithms, theoretical analysis, and experimental validation. Theoretical analysis and experimental validation show that the new solution and algorithms are validated and feasible, can make ODSA obtain better performance tradeoff between lookup efficiency and real-time, and good scalability.In IoT, as the hot-point resource (HPR) objects are frequently accessed by the client application of some organizations, it generates vast network traffic flows that may lead to the network congestion, which influence the efficiency of resource discovery. The current resource discovery services for IoT do rarely pay attention to this issue. To further improve the efficiency of resource discovery, therefore, for the issue of the locating of hot-point resource, Double-Chord-Ring framework of ODSA (DR-ODSA) based on SR-ODSA and related mechanisms or algorithms, theoretical analysis, and experimental validation are provided. Theoretical analysis gives the number constraint relationship of nodes of two rings to exhibit the efficiency advantage of DR-ODSA. Experiments validate the correctness of the theoretical analysis, and show that compared to SR-ODSA, DR-ODSA has better efficiency of resource discovery in the case of meeting the number constraint relationship of nodes of two rings, and is scalable.From a security perspective, IoT not only need resource discovery architecture is safe and reliable, but also with capabilities to control access according access right, and can protect business secret and customer privacy. The existing resource discovery systems for Internet—DNS do not have these safety features. Therefore, according to the current information security and privacy protection requirements of IoT resource discovery, through studying and analyzing the current privacy enhancing technologies, the corresponding protocols/methods are provided about the mutual authentication between the responder and requester of object information, user queries account management, secure communication between Savant and EPCIS, and information security in ODS System, to enhance the security and privacy protection of resource discovery for ODSA.
Keywords/Search Tags:Internet of Things, Object Name Service, Chord, Object(Resource) Discovery Service
PDF Full Text Request
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