Study On Service Emergence Oriented Systemtic Intelligent Model And Its Applications

With the rapid development of Internet technology, service oriented architecture (SOA) is becoming a new development model, the distributed service resources can achieve cooperation of the corporations. The potential of services can only be achieved if they are used to dynamically compose some new services that provide more sophisticated functionalities compared to existing ones. Semantic technology, especially ontology, offers the new ideas of service discovery and composition automatically. The discovery and composition of semantic service is achieved for the user request by the agents. Hence, the development of intelligent platform, which can achieve discovery, cooperation and composition service, is very important.The dynamic management of service is very complicated. That is to say, services can be created and updated on the fly, the large number of available mobile services and pervasive services increase dramatically. Distributed system is an effective way than central management. Agents are envisioned for automatic discovery, execution, and integration of Web services. However, no mature method has been proposed to manage birth, death, migration, stability, and communication processes of enormous agents. They can not meet with autonomous management, evolution, and adaptation for the next-generation service problems.In the thesis, we apply the correlated theories and mechanisms of biological emergence to propose a novel service emergence oriented systemtic intelligent model, the design can be applied for the service computer problems, such as Web service composition, pervasive service management and workflow. It solves the adaptability and evolution problems of next generation service management.Firstly, we investigate the demands of future internet service computer, and make a summary of intelligent service composition and management technologies. The emergent computation and the inspiration to Internet service management are proposed. It provides the bases of theory and technology to the service emergent model study.Then, we propose the general design of service emergence oriented systemtic intelligent model,, and describe the theoretical model of service evolution (Melay Machine model). The module of service emergence, the structure of the bio-entity and message are also described in the section.Next, we propose a distribute emergence group communication design for service emergence. Emergent communication means a group communication of mobile bio-entities. We propose a scalable communication system within frequently bio-entities migration and failure. It includes data structures, token-based message algorithm, token-based recover protocol, the bio-entity membership migration algorithm and efficient distributed failure detection mechanism. Experiment results show the desired capability via the proposed solution.Moreover, based on service emergence oriented systemtic intelligent model, we analysis the method of energy mechanism and further present the study of the evolutionary stability energy entropy, the measurement of energy entropy and global stability based on Nash equilibrium. The problems of finding Nash equilibrium can be formulated as a problem of detecting a global optimization problem. The improved differential evolution algorithm is proposed to solve the problem. The simulation of energy stability is provided to validate the method.Also, based on the design of service emergence, a method of Web service emergence is proposed. Bio-entity is designed as an autonomous agent to represent Web service, and automatic composition and dynamic management of Web services can be achieved through the Web service emergence. Also, we build a computation platform for Web service emergence, which allows the bio-entities to cooperate over Web services and exploits capabilities of their partners by Linear Logic negotiation. Finally, the simulation results on the platform show that Web service emergence can be achieved through self-organizing, cooperating, and compositing.And, inspired from biological immune response mechanism, we propose the affinity applied to pervasive service composition, and bio-entities construct network through affinity. The measure of the affinity is based on the matching strength, the service quality score and the trust. The pervasive service composition is provided by emergent network of bio-entities. Service may be added or removed dynamically in service emergence. The method completes a series of work from composition to management autonomously. It shows a good performance and adaptability to dynamic environment with simulation results.Moreover, an emergence modeling approach is proposed to the study of E-workflow composition. By understanding properties of messages, the bio-entities use projection-join closure to capture such message situations. Based on the negotiation of the bio-entities, the optimization of the E-workflow composition is translated into dynamic services selection with QoS global optimization. We propose an improvement algorithm based on quick sort and NSGA-II to resolve it. The simulation results show that the approach can significantly improve the E-workflow performance. It adapts well to the changes of user request.Finally, a summary of the thesis is made, and the deficiency in the project and the further development are narrated respectively.