Research Of Web Service Composition And Matching Algorithm Based On Personality In P2P Model

Now the widely used network application model in Internet network are based on the traditional centralized structure. It has the big pressure on central node, low efficiency , a single point of failure and some other problems which are hard to be resolved. Internet itself is a peer-to-peer network model, each node in the network are as the server and client at the same time. In the peer-to-peer mode, the dual identity of each node can effectively reduce stress of servers, and generate power computing capability by gathering the resource of several single nodes. Therefore, with the rapid expansion of the network scale of today, the research on P2P model has highly focused and practical significance. The existing composition and matching algorithms of Web services are based on the traditional network application model, so there also has the disadvantages of single point of failure, low efficiency, and in the centralized model, the Web services is difficult to play the characteristics of flexibility and satisfy the increasing volatile and personalization of customers.The researches of Web Services in centralized environment have been made a large number of results, but these solutions are difficult to adapt to the rapidly dynamic changing of Web service, difficult to ensure efficiency and meet the changing needs of users in large-scale application environments. As the main means of improve the service quality, Web services matching has made a great breakthrough on the basis of the Semantic Web, but the research of personality from the user point of view is still inadequate, most researches make quantitative analysis of services only on time, cost and other projects, and lack more detailed analysis on personality of the user. At the level of the current user has been continuously enriched and scale expanded, the centralized algorithm of web service composition and the traditional service matching algorithm can not meet both users and service providers demand.This paper aims all the above development problems of web service, make the research of web service composition and matching based on user personality in P2P model, and obtain a certain amount of research results. This article mainly about some aspects of the research and innovation:1. Present personality enhanced OWL-S description language, combined with refinement and expansion of the Semantic Web Service description of the personality in order to better matching the user needs with Web services and improve the computing speed, the accuracy of selection. At personality enhanced OWL-S description language, add the description domain for user personality requirement which has nothing to do with the service interface. The design this paper presented can expend the information and operation of personality effectively.2. With the personality enhanced OWL-S description language, constructing the web service matching algorithm based on personality which can select the service to replace the web service virtual mapping in the template when we successfully got the web service composition template based on user personality and instantiate the web services rapidly. It deals with user personality requirement by classifying it, effectively reduces the number of candidate services, improves the speed and accuracy of Web service matching, and gets the web services composition meeting user personality needs.3. Present a new service discovery and composition architecture in P2P model. The new architecture can construct the web service composition meeting user personality efficiently and accurately in complex and changeable P2P network environment. The architecture makeup a logic layer without considering the specific web service implementation in peer-to-peer network environment, and realize the web services composition computing through the association of virtual web service mapping which without real-time computing so increase speed of service composition. This improvement has great significance to accelerate the operating speed of the system at distributed network environment with high network latency.In this paper, our research bases on the network environment of P2P model, present personality enhanced OWL-S description language, service matching portfolio based on user personality and web service composition algorithm based on structured distributed network architecture, provide new thinking way for implementation of personality web service composition and matching calculation in P2P model.