| The millions of information service systems based on Internet are composed of complex networks. All of the people and computer software take part in the evolution and development of the huge complex system. Internet is not only a huge information library, but also a chaos network. Therefore the interested information by the users is extracted and found difficultly. This dissertation want to propose a model called active services to implement the efficient, conveniency, exactly and real-time data dissemination based on Internet and data broadcasting system.First, this dissertation discusses the influences of user requirement behaviors to Internet collective dynamics. The dynamics of the complex networks such as Internet that is mainly influence by user requirement behaviors, and can be statistic in time series. A large number of complex networks, both natural and artificial, share the presence of highly heterogeneous, scale-free degree distributions and small-world phenomena. This dissertation analyzed the empirical collective behaviors of user requirements in a region, discovered that the frequency and the in-degree distributions of bipartite networks constructed by user visiting web sites are power-law, and the exponential is between 1.7 and 1.8. A novel two-tier model, the virtual resource networks (VRN) and physics topology networks (PTN), is proposed to study the influences about the Internet collective behaviors. The mapping process mechanics of VRN to PTN simulates that the dynamic behaviors of resource network how to influence the internet physics topology networks. The power-law characteristics of VRN can bring forth the results that the phase transition critical point moves left and network performance is more incapable. The distributed mapping process of VRN to PTN for the small subset with the high degree nodes was constructed, then the phase transition critical point of PTN moves right and the network performance is improving obviously.Second, this dissertation submits a kind of active service architecture and its network model, and discusses a publish/subscribe system model based Web services, including implementation frameworks and key technology. This model wants to establish a huge of information extraction and dissemination system for the Internet and other data broadcasting system, so that supports efficient, personalized, and timeliness service-on-demand.In the chapters 4 to chapter 7, the dissertation discusses many key technologies for active services. The active services are supported by many network technologies, including DVB standard, IP multicast, and active networks etc. A design of IP/DVB gateway device based on Linux is submited int chapter 4. The information sharing semantic processing, the QoS of information search, the semantic Web, the information clustering and classification are analyzed. In the chapter 6, the models of Uniform content identifier (UCI) and uniform content locator (UCL) are submitted and have been discussed for concepts, methods, and implementations, including construction of ontology library, automotive indexing for UCI/UCL, the network level model and mapping mechanics, and the experimentation and application of UCI/UCL.The data dissemination and dynamic broadcasting scheduling algorithms are analyzed in the last chapter. The asymmetric communication system, where the server has much communication capacity than clients, is emerged in modern network environment. The data dissemination and data broadcasting are an efficient way to transmit data. Broadcast can be either pull-based, where clients ask for data from the server, or push-based, where the server pushes data to clients. The broadcast schedule is important to the overall system performance. In the chapter, the scheduling algorithms, performance metrics and characteristics of push-based active broadcasting and pull-based on-demand broadcasting are discussed. An adaptiveα-β-γhybrid broadcasting scheduling model is submitted for active services environment.
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