The Applied Research On Some Key Techniques For Web Active Service

The Communication and interaction have rapidly changed by Web Technology and application system based on Internet. The Internet is now undergoing an evolution from a simple platform for information sharing to an open distributed computing infrastructure. With more and more data resources, computing resources and applications accessible via the Internet and web pages for public usage, resource sharing and application integration across organizational boundaries. In recent years, the concept services in open of network has been proposed as a mean of abstracting and wrapping environment, which makes Web service the natural way for dynamic resource aggregation and flexible application integration. Especially, along with the features of active computing, human centered and enhancing customer experience in services, which make Web active services become a kernel on SOC (Service Oriented Computing).Implementing Web active services makes possible for information integration and interaction across organizational boundaries and enterprise interior depend upon unite clients, services, and operation together. The main contributions of this dissertation are summarized as fellows:(1) The WASM (Web Active Services Model) that has"push"and"draw"two ways character is proposed.Based on framework of active services and features of actives computing, the key technologies and implementation methods in the WASM are presented. Firstly, discovery and recognizing the asker of services to know its requirement, intention, QoS, and level of services; Secondly, Querying and discovering services information in registry of services; finally, binding proper services'URI to get it that meet user needs.(2) A PENN and Based on hybrids policies algorithm are discussedThe PENN (Patterned Extendable Neural Network) is presented for discovering and recognizing user intention by selecting pro-pattern and adjusting number of latent layer node and/or increases pattern cooperation to meet discovering and recognizing needs. Taking an optimum pattern output as teacher train other patterns for sharing knowledge and improving efficiency and precision. The hybrid algorithm is proposed based on the different activities of user intention in Web initiative services. The preference learning with v -SVC provide effective preference recognition and role selection for user intention. The service focus point will be found with concept hierarchy algorithm, which conceptualizes service attributes. Using fuzzy clustering for user desire level or quality of services is feasible decision.(3) The policy of services hitting and Based on small World model Web routing algorithm are proposedHow to discover required services in abundant redundant and similar service that record in databases which possibly have distributed features? The policy of services hitting is introduced, which effectively solves problem of services hitting, and process invalidation of services binding through similarity degree computing and sorting. Because of distributing and independency of services net database, a resource optimization search algorithm is proposed. Becaude the small world networks have a short length of characteristic path and evident attention of clustering, the efficiency of communication is improved in Web services querying and routing on the network which has small-world features and is constructed by some peer to peer services that regard as vertex in graph. Web service depends on virtual name and routing aware mechanism in expediently implement routing appoint and load in SOAP. Based on basic ant colony algorithm, the QoS constrained Ant colony Algorithm is presented.(4) The mechanism to avoid Web services unavailability is proposedWeb services'high usability is restrained by Services unavailability. The reflection technologies are presented to improving Web services self-adaptive and robust ability to modify and optimize to Web services. The reflection layers are deployed in client's and server's sides to catch the traps that are some status of Web services unavailability. The reflection layers can adjust the internal structures and states of services, which avoid services unavailability in time and make services adapt to environment changing. The Hierarchy mixture of expert neural network as a detector in reflective middleware is introduced.(5) The method of Services composition based on QoS mode is proposedOne of key factors is QoS for obtaining services. The QoS context is presented to deal with the different circumstance in compositing services and discovering services. Based on QoS context model, the candidate services are selected and compounded by QoS control system in which the genetic algorithm as controller to ensure to select suitable web services'QoS in the feedback system.