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Research on Qos-aware Dynamic Web Services Composition

Author: YaoYuJie
Tutor: ShenBeiJun；ChenZuoPeng
School: Shanghai Jiaotong University
Course: Software Engineering
Keywords: Web Services QoS Service Portfolio Non-dominated Sorting Genetic Algorithm Business Rules
CLC: TP393.09
Type: Master's thesis
Year: 2010
Downloads: 100
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Abstract


Through continuous evolution of Web services has become the next generation of enterprise systems and Web application framework, research in the field of SOA, Web services research has become a major concern of the research topic. Today, a single Web service has been unable to meet the growing needs of service consumers, through the application of SOAP, WSDL, and UDDI standardized protocols, we can put a number of different service providers of Web services, the form of components and a certain order to facilitate be combined together to form a new combination of services. With a single Web services are different, the combination of services through the interaction between multiple Web services, and thus perform more complex transactions or workflows. So great research value composite service, its application prospects are very broad. In this paper, 863 thematic project \Original paper to put forward a dynamic service composition model, the specific components include: UDDI registry, Web services engine crawling, Web services, warehouses, service composition engine, service selection engine, a rules engine, rules, warehouses, depots and user formula, The model is based on the user's functional requirements and predefined rules for automatic composition of Web services. Among the services selection engine original use of multi-objective optimization algorithm to the user decision support. Service selection engine selection algorithm used by a non-dominated sorting genetic algorithm, which uses a layered approach represents the domination of chromosomes relations with non-domination, according to the results of hierarchical chromosome selected so that the algorithm can adapt to multi-objective optimization problem solving features. This algorithm is a method of making a single change in the past, while the introduction of the \Based on the above research, the paper also implements a dynamic service composition model based on a prototype system. First, the service portfolio of the system accuracy and speed combinations were tested and evaluated results reflect the non-dominated sorting genetic algorithm superiority in the field of service composition. Secondly, the analysis of the non-dominated Sorting Genetic Algorithm Pareto distribution, validation of the algorithm design theory. Finally, the model based on business rules service portfolio performance analysis, summed up the impact on accuracy and speed of the main factors combined. Experimental results show that the model is feasible and effective for the portfolio of services with QoS constraints provide a new and efficient mechanism.

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