Study On UDDI Deploying Strategy In Sematic Community

Service registry is an important component in service-oriented architecture, called SOA. With the arising of service-oriented computing mode in Internet and the growing complexity of network, it becomes very important to the efficiency and performance of service-oriented computing that huge volume of service registering information are reasonably organized, managed and fast indexed in complex network, so the appropriated deployment of service registries is the essential to gain this goal. The current service registries in complex network can not adapt the dynamic evolution of network because of the lack of appropriate theory support in organizing, managing and deploying. Due to the lack of ability of semantic processing, service registration information can not be efficiently understood, automatically calculus reasoned and appropriately organized. Meanwhile, in the study of complex network, many valuable statistical properties results are found in the World Wide Web etc., such as the network that presents a community structural characteristics which can provide a strong theoretical basis to study on service registry. The report "The Road Map of China Information Technology Development Until 2050 " has listed the development of new information science and cutting-edge interdisciplinary. Therefore, the study of searching and discovering semantic communities (A logic structure which is constructed through semantic information according to the preference of each node) through the semantic and structural characteristics in peer-to-peer network can be used to direct the setting of service registries. These studies do not only have important application value in organizing service-oriented network, but also theoretical value which promotes the application of complex network theory.The strategy of service registry deployment in semantic community is studied in this dissertation combining the extensibility of P2P network, intelligence of semantic network and characteristic of community structure in complex network. A model is proposed to help the deployment of service registry. A few key issues involved in this model including node selection, network evolution and semantic community construction are studied. So five main topics are discussed in this thesis, including the design of system model, selection of super node, evolution of network topology, propagation of semantic information and the division of semantic community. Some innovative research results are gained as the following:(1) A Super Peer and Semantic Routing Model is proposed, which is based on the semantic characteristics of information, the preferences of each node in the semantic information is propagated in gossiping mode. Each node can get the information of other nodes which have the same preference through the semantic gossip, so the nodes in the network can be divided into different semantic community based on their preferences. The node with the best overall performance is selected as the super node, which is in charge of registry. Different communities can be interconnected through semantic information. Given request of querying, the processing is limited in appropriate domain, so the processing range is decreased, and more efficiency of processing gained.(2) The set-pair based super node selecting algorithm is proposed. The factor of resource consumption and load capability are introduced in super node selecting. The load capacity is qualified, the universal and flexibility of super node selection can be increased. Selecting super node using the method of set pair can qualify different parameters on each node, so the fuzzy evaluation of each node can be achieved. This method can also reflect the user customized emphasis on specific parameter through weight, which is an efficient evaluation method. The root mean square function is used to measure the dynamic changing of node queuing, the election algorithm could be trigger before the congestion of processing, so the whole service response time could be improved.(3) A node intensity based network evolving method is proposed, which uses the idea deploying more service points in dense zone. The connection strategy is adjusted dynamically through the edge-weight priority rule, so the process of network self evolution could be achieved. The final network has the characteristics of small world and a better global response time is gained.(4) A model of semantic information propagation using gossip mechanism is proposed. Gossip decay mechanism is used to achieve the efficient propagating of node preference with lower cost. Each node makes decision based on preferred information. The connection degree between nodes could be changed according to the semantic similarity of preference between nodes through semantic matching. The dependence on global knowledge is magnificently decreased.(5) A semantic community division algorithm based on the entropy of community semantic is proposed. In this algorithm, using the concept of semantic entropy, nodes with similar preference are gathered into a domain of semantic community division based on the semantic information between nodes. After the division of community, each semantic community is managed by a super node, which is responsible for registry. Each node sets up and maintains the topology of connection with other nodes independently according to the semantic information, process the self organization of network to achieve the orderly organizing of resource on each node. This provides a new way to the deployment of service registries in semantic community.This research provides the theory and method for mining semantic community structure in the complex network and deployment of service registry, meaningfully explores in applied research of characteristics in complex network, and plays a positive role for the development of network science.