Research On Data Buffering Technology Applied In Mashup

Mashup is an ad hoc technology of Web application in the age of Web 2.0. It allows users to draw upon content retrieved from external data sources to create entirely new application. It has the feature of simple, easy adopt, and powerful data aggregation ability, which attracts both the enterprises and the general concern of Internet users. Mashup is more reusability based on Web, lightweight, end-user-oriented features to attract the academia and industry. Even thought there is so many creative Mashups in the internet, we still find that the Mashup platform today have many shortage: Mashup datasource is usually derived from the dispersion, and heterogeneous multi-data source, potentially increasing time delay which the resource transfer and reducing the user's personalized experience. And more and more users create their own personalized application in the way of Mashup, which is bound to affect the Mashup Server. Those shortages restrict the progress of Mashup. Here, Web caching technology will be introduced to the build process of the Mashup to improve Web application Fluidity, reduce the network loady and network congestion to improve system performance, thus reducing the response time to greatly improve the user experience of Web applications to enhance the efficiency of Mashup Construction. This paper trys to provide a solution to solve the problems with a agile way.The contribution of this paper is: analysis the build process of Mashup application and Web caching technology, this paper presents a cache function of the Mashup build process based on the cache technology. In order to meet user's request, we build up the cache what Mashup construction need. So the process can be in building a Mashup that Mashup Server ease the burden, and also reduce the user response time, increase user personalized experience. Improving the existing Mashup models and put forward our own Mashup development structure. Through the introduction of Web caching technology to reduce the Mashup applications, data exchange, improving the user's personalized experience. In addition, this paper studies the factors that affect cache performance, to find a suitable cache replacement algorithm for Web caching.