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Based On The Service Quality Of Web Service Composition And Service Recommendation Research

Posted on:2013-07-10Degree:MasterType:Thesis
Country:ChinaCandidate:Y ShiFull Text:PDF
GTID:2248330374461938Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
With the rapid development of Internet and computer technology,in the academic field and i ndustrial fields, Web services are widely recognized as an open service delivery. It can help co mpanies be more rapid, inexpensive, and the flexibility to build business processes and applicatio ns.Web service has a good interoperability, flexibility, ease of use and reusability.While the fu nctionality provided by the individual Web services often can not meet the needs of users, the c onceptofweb service composition was put out.It can use web services which are provided by the different providers to generate the business which meet the ultimate needs of the user.Bu t with the gradual normalization of the industry, the web service requirements are also becomin g more strict.To introduce the concept of quality of service (QoS) in Web service used to disting uish the services which have the same functions. System maintain web services at run time and supervise each service’s QoS of service indicators be amended.System calculates the service c omposition’s QoS in order to distinguish non-functional attributes of the service.Such a proce ss is known as service composition based on the QoS,and now it become the focus of the rese arch in the field of service composition. However, only a combination of services with QoS is not enough,how to automatically recommended a service meeted the needs of users is also a p roblem must be solvedThis paper mainly researches on web service composition with QoS ande the service re commendation, the main research work is as follows:1)According to the general process of service composition, QoS-based Web service compositi on framework is presented. By studying and learning the knowledge of related fields, propose d a service composition framework which full support QoS and services recommended.The pape r specifically describes the main function of each module in the framework,and in the traditional web services composition framework introduced user preference recommendation module.Du e to the use of preference recommendation module so that the Web service composition fra mework more meet the needs of users.2)According to the existing QoS model,this paper puts forward a new model of QoS. Trad itional QoS model usually only consider the non-functional attributes of the service itself as a measuring standard method. But these do not necessarily meet user’s requirements.In this pape r the definition of QoS model considering the current operating system environment under th is influence.The QoS required by the user is the sum of the QoS of service itself and the QoS of the current operating environment.3)According to the service framework which based on the service composition which Q oS,this paper presents a new algorithm for solving problem of service composition.According to research the QoS of service composition,combined with the traditional ant colony algorit hm and genetic algorithm this paper presents a new ant colony fusion algorithm.And using this algorithm to solve the Web service composition with QoS constraint.The new fusion algorit hm used Cross-call assessment strategies dynamicly let the ant colony algorithm and genetic algorithm together,in the end the ant can quickly obtain the optimal solution..The algorithm can effectively compose services which the service provider gives,and then generated compos ite services which meet user functional requirements.Use this methord can quickly form optima1solutions.4)The existing combination service can not satisfy the needs of users,this paper propose d a Web service recommendation algorithm based on user preferences. Using the Pearson co rrelation coefficient to find a group of similar users, according to the similarity of the servic e evaluation and the reliability of the evaluation calculated the recommendation of web servi ce. Use the recommended rate to recommend web service for users.This method makes the rec ommendation results more credible.
Keywords/Search Tags:web service, web service composition, QoS, genetic ant colony hybrid algorithm, service recommendation
PDF Full Text Request
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