Dissertation
Dissertation > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > The application of computer network

Research of a User Preference-based Trusted Model of Service Composition

Author LiuYangZuoHao
Tutor TangXinHuai
School Shanghai Jiaotong University
Course Software Engineering
Keywords Web services Service portfolio Trusted User preferences Bayesian networks
CLC TP393.09
Type Master's thesis
Year 2012
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With the increasing number of the type and number of Web services , service composition technology is becoming more mature . In an open , dynamic environment of the Internet , in the face of rapidly changing service resources and user preferences , the portfolio of services related to the issue of credibility is being more and more attention . How to measure the reputation of the component services , and how to choose a trusted combination of program is this area of research focus . The hot issues a credible model portfolio of services based on user preference and trying to model within the framework from the point of view of the user preferences to measure a single Web service reputation , based on user preferences as driven to achieve combinations trusted . For the completion of the above - mentioned research objectives , the main tasks include the following aspects : ( 1 ) comprehensive and systematic analysis of the service portfolio credible research areas of some of the current research and technology , described in detail the status of this field of research challenges and possible future development direction . (2 ) for a single Web service reputation measurement problem , using Bayesian network model of Web services based on user preferences credibility , the credibility of services in the form of a statistical probability quantified ; in service reputation quantify , on the one hand, the credibility of the source of information has been consolidated , on the other hand the user impact as their weighting factor is the introduction of the metric system . (3 ) the trusted choice for combination programs , a quantitative calculation of composite service QoS . The method combination of service QoS and QoS of component services associated with them , combined with the credibility of component services , driven user preferences , the selection of the best combination of selected programs at the same time trusted authentication scheme . (4) based on the above work , design and implement a middleware prototype system to verify the model 's feasibility and effectiveness .

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