Web Service Discovery Method Based On The User's Situation And Qos Research

The development of Internet network environment and technology, leadsto new opportunities and challenges of software development and application.Software development mode experienced the process-oriented, object-orientedto Web services–oriented changes. Software application changes gradually fromclosed, static mode to open, dynamic collaborative Web services mode.Web services discovery is the key link of Web services application. Withthe rapid development of Web services, Web services of the same function areincreasing, but the non-functional aspects are put in very big difference. QoS(Quality of Service), which the capability of meet users’ needs, is the importantindicators of Web services performance evaluation. User’s context, which theinformation of user and use the Web services environment, is the potentialinformation of services discovery results meets the needs of users. Users,whichusers’ context are similar, are very similar in the QoS-aware and the use of Webservices. Therefore, the QoS data,which users’ context information are similar,are use effectively is a feasible way to improve the efficiency of Web servicesdiscovery.This dissertation firstly studies some methods for Web services discoveryincluding clustering based on users’ context information, QoS-aware based onusers of context similar. Then,it establishes a prototype system for Web servicesdiscovery with context and QoS to provide more effective support for therealization of Web services discovery based on context and QoS. Main works ofthe dissertation are as follows：（1）For user’s data model, the dissertation not only puts forward a model ofuser’s QoS data, but also the ontology model of user’s context informationbased on user’s QoS data is built, on basis of systematically study on theevaluation standards of user’s for Web service performances, which gives fulldescription of user’s information.（2）For algorithm of Web services discovery，the dissertation not only puts forward an algorithm of clustering based on user’s context information, but alsothe algorithm for Web services discovery based on QoS-aware of similar user’scontext information is built, on basis of comparison for related research.（3）For prototype system of Web services discovery, the dissertation notonly puts forward an architecture of model with context and QoS, but also thecomplementation of system is finished, on basis of study on Users’ context andQoS.