An SVR-Based data farming technique for web application

作者:Lin Jian; Peng Minjing
来源:2nd International Conference on Research and Practical Issues of Enterprise Information Systems, 2007-10-14 to 2007-10-16.

摘要

In order to solve the problem that the performance of web application can't meet users' expectation when many users access dynamic data through the application, a data farming optimizing technique for web application is proposed. In the proposed technique, the web application is based on XML and the data are converted into XML format before being presented through XSL. To reduce page response time, SVR is employed to forecast user's requests. And based on the requests, a data farming agent is used to create web pages that may be needed by users. At last, experiments are conducted to compare page response time for three web sites: a dynamic web site without data fanning optimization, a data farming optimized web site, and a SVR based data farming optimized web site. It is proved that page response time for the last web site is the least, which proves that the proposed technique is effective.