Service quality customized Web service combination method

Abstract

The invention discloses a service quality customized Web service combination method which comprises the steps of: receiving a user demand and analyzing the user demand into a function demand and a service quality demand; constructing a Web service combination network according to the function demand; obtaining a Web service combination set matched with the function demand; selecting a Web service combination from the obtained Web service combination set, calculating service quality of sub targets of all Web services included in the Web service combination set; according to the service quality demand, figuring out a shortest key path of the Web service combination, then obtaining the service quality of the sub targets in the Web service combination on the basis of the shortest key path; obtaining one group in closest to service quality; and combining the Web services in the obtained Web service combination set to be used as a result matched with the user demand to be fed back to a user. The method provided by the invention can ensure that the Web service combination meets the individualized service quality demand.

Description

technical field [0001] The invention belongs to the technical field of Web services, in particular to a Web service combination system and a service quality optimization method. Background technique [0002] Web service is a distributed computing model of service-oriented architecture, which can realize seamless interoperability between applications written in different programming languages ​​on different platforms. Web service composition is to integrate existing web services according to user needs to construct a web service composition that meets more complex needs. When building a Web service composition, there are a large number of Web services with very different QoS (Quality of Service) on the Internet. How to select a group of Web services from a large number of Web services to build a Web service composition that meets user needs, and It is an urgent problem to be solved in the field of Web service technology to make the constructed Web service composition meet th...

AI Technical Summary

Problems solved by technology

[0004] (1) The service quality evaluation of the existing Web service combination is relatively simple, and the service quality of each Web service is often regarded as a single weighted value of multiple attributes, which is finally transformed into a single objective function optimization problem under some constraints

In reality, users often have multiple needs, and the needs are prioritized and hierarchical. For example, users have one requirement for price first, another requirement for cost, and finally another requirement for reliability, etc. , these requirements cannot be simply weighted and unified to a value

[0005] (2) Existing Web service composition selection methods only use the general service quality attributes of Web service compositions as the basis for selection, without considering their domain service quality attributes

Due to the lack of consideration of this association relationship in the existing combined service selection methods, the service quality of the optional service deviates from the declared service quality value when the association relationship appears, that is, the static service quality is used to evaluate and select Web services. The service will not be able to accurately measure the service quality of Web service and Web service combination, resulting in the selected Web service combination cannot meet the user's service quality requirements

[0007] (4) When evaluating the service quality of the Web service composition, it is often the weighted sum of the service quality of each Web service included in the Web service composition, ignoring the role of the shortest critical path of service quality in the Web service composition

[0009] The existing technology only focuses on the method of Web service composition, but ignores the systematic nature of Web service composition. Only by fully considering the discovery of stored procedures and composition matching processes can the service composition that meets user needs be found

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