服務(wù)模式的發(fā)現(xiàn)與演化方法研究
[Abstract]:With the rapid development of the Internet, Web services are presented in daily life in a richer way under the background of the research on the big services in big data era. A large granularity service scheme is formed by rational composition between individual services to meet more and more users' personalized needs. On the one hand, massive service demand has a very high demand for the efficiency of service composition. On the other hand, users' expectations for services not only require rapid and convenient, but also hope to obtain the most satisfactory service results. Based on the above background, the concept of service pattern is put forward by scholars and introduced into the process of service composition. The service pattern is used as the composition basis to construct the service scheme quickly and efficiently, which can effectively improve the composition efficiency and user satisfaction. In the theoretical research of service pattern, the design, discovery and evolution of service pattern are the foundation and core work. In this paper, based on the theoretical research of service pattern, the concept, description, core properties and usage method of service pattern are studied, and the discovery algorithm and evolution method of service pattern are proposed. And the application in the field of health care for the aged is verified. In the theoretical research part, firstly, the concept and characteristics of service pattern are studied, the formal representation of service pattern is given, and the three properties of its core priori, similarity and relevance are analyzed. Then, we summarize the characteristics of service patterns, abstract service patterns into graphs, and propose an algorithm of service pattern discovery based on graph mining combined with frequent subgraph mining technology. Through a large number of detailed experiments, the performance of the algorithm is evaluated, and the relationship between the parameters of the algorithm and its influence on the algorithm are analyzed. The service composition algorithm based on pattern revenue maximization is used to evaluate the advantages and disadvantages of the discovered service pattern, which provides guidance for the practical application of the algorithm. Furthermore, the evolution law and method of service mode are studied. In this paper, a set of evaluation indexes and their calculation methods for service mode and single service are developed, and the evolution strategies for each type of service model are given, and the evolution types of eight service modes are found. The service pattern of mining is updated and optimized to the maximum extent. In the part of application verification, the proposed algorithms and techniques are applied to the system design. The management tool of service pattern library is designed and implemented, and the operation of service pattern discovery, management, evolution update and so on is carried out effectively. At the same time, the method is applied and implemented in the field of health care for the aged, which verifies the correctness and effectiveness of the proposed method.
【學(xué)位授予單位】:哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TP393.09
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