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Research of Two-stage Service Composition Algorithm Based Fuzzy Petri Net

Author: QiMeiShi
Tutor: WangLei
School: University of Science and Technology of China
Course: Pattern Recognition and Intelligent Systems
Keywords: Web service composition Fuzzy Petri Nets Business Process Execution Language Quality of service Semantic Web Service Matching
CLC: TP393.09
Type: Master's thesis
Year: 2011
Downloads: 37
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Abstract


With the development of the Internet and Web services technology , the network can provide the same or similar functions Web services more and more, but these attributes (such as execution time , the consideration ) are not the same . How to choose the combination of services to meet user needs, not only in the functional properties simultaneously in the service quality also Jiaoyou to combination , which is a core issue in the field of service composition . Semantic technology , on the other hand , to become a major driving force in the development of the combination of Web Services , Semantic Web tries to use the language of the machine can understand precisely describe Web services to support Web services discovery , selection, combination , call monitoring automation , so service portfolio semantic information is crucial in terms of the combination of services . To solve the above problem , this paper based on the fuzzy Petri net modeling service portfolio , considering the two factors of the semantics of service and quality of service , service composition path selection using fuzzy Petri nets fuzzy reasoning ability , the main work is as follows : First , in view of the BPEL the current industry standard business process description language , and propose a BPEL business process recursive resolution segmentation method , based on the BPEL process and service - related activities to resolve the BPEL process is divided into several sub-processes , the establishment of sub-processes to Petri nets model mapping . Petri net model of divided sub-processes can be easily mapped to the structure of the Petri net , making it easy to create a complete BPEL process . Second, the proposed semantic matching degree of service and quality of service matching degree model , so as to establish the fuzzy Petri net model of the service portfolio . Introduction of fuzzy inference rules and fuzzy reasoning algorithm , the combination path match by match reasoning of a single service . The service portfolio of the two-stage algorithm , based on semantic matching and quality of service are more excellent service composition path . Finally, based on the PIPE (Petri net simulation tools ) to build a simulation system simulation experiment . The simulation results show that the use of fuzzy Petri nets , fuzzy inference rules and the two-stage service composition algorithm can choose a combination of semantic matching and quality of service are more excellent service path .

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