Efficient Materialization of Dynamic Web Data to Improve Web Performance

Abstract. The issues of performance, response efficiency and data consistency are among the most important ones for data intensive Web sites on the Internet today. In order to deal with these issues we analyze and evaluate a materialization policy that may be applied to data intensive Web sites. Our research relies on the performance evaluation of experimental client/server configurations. We propose a materialization policy that applies to different Web site request patterns and data update frequencies. The issue of Web and database data consistency is the driving force behind our approach. In some cases though, we prove that certain compromises to consistency can be beneficial to Web server performance and at the same time be unnoticeable to users. We evaluate the performance of our approach and compare it with other popular materialization approaches. The results of our evaluation show that the concept of “acceptable inconsistencies” between Web and Database data may be beneficial to Web servers in terms of performance. The issues of performance, response efficiency and data consistency are among the most important ones for data intensive Web sites on the Internet today. In order to deal with these issues we analyze and evaluate a materialization policy that may be applied to data intensive Web sites. Our research relies on the performance evaluation of experimental client/server configurations. We propose a materialization policy that applies to different Web site request patterns and data update frequencies. The issue of Web and database data consistency is the driving force behind our approach. In some cases though, we prove that certain compromises to consistency can be beneficial to Web server performance and at the same time be unnoticeable to users. We evaluate the performance of our approach and compare it with other popular materialization approaches. The results of our evaluation show that the concept of “acceptable inconsistencies” between Web and Database data may be beneficial to Web servers in terms of performance.