Scheduling Queries to Improve the Freshness of a Website
The World Wide Web is a new advertising medium that corporations use to increase their exposure to consumers. Very large websites whose content is derived from a source database need to maintain a freshness that reflects changes that are made to the base data. This issue is particularly significant for websites that present fast-changing information such as stock-exchange information and product information. In this article, we formally define and study the freshness of a website that is refreshed by a scheduled set of queries that fetch fresh data from the databases. We propose several online-scheduling algorithms and compare the performance of the algorithms on the freshness metric. We show that maximizing the freshness of a website is a NP-hard problem and that the scheduling algorithm MiEF performs better than the other proposed algorithms. Our conclusion is verified by empirical results.
Databases and Information Systems | Numerical Analysis and Scientific Computing
Data Management and Analytics
World Wide Web
LIU, Haifeng; NG, Wee-Keong; and LIM, Ee Peng.
Scheduling Queries to Improve the Freshness of a Website. (2005). World Wide Web. 8, (1), 61-90. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/78