Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Efficient and extensible algorithms for multi query optimization
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
NiagaraCQ: a scalable continuous query system for Internet databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Keeping a Very Large Website Up-to-date: Some Feasibility Results
EC-WEB '00 Proceedings of the First International Conference on Electronic Commerce and Web Technologies
Incremental Maintenance of Hypertext Views
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
On the Feasibility of Website Refresh Queries
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
Model and Research Issues for Refreshing a Very Large Website
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 1 - Volume 1
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As websites grow larger and become more sophisticated, organizations use structured database systems as a source of base data for information presented on the website. Thus, it has become critical to keep a very large website up-to-date in response to frequent changes to base data. This is particularly true for websites presenting fast changing information. The execution of a refresh query produces a Web view that forms the content of a portion of a Web page. As the execution of such queries involve database access, the execution time may affect the feasibility of timely refreshing a set of Web views contained in a website. In this paper, we focus on the problem of reducing database access and improving the feasibility of scheduling a set of refresh queries to timely refresh Web views. We propose an optimization technique, query integration to reduce the number of potential refresh queries. The technique seeks to integrate compatible queries into a single query. We illustrate the efficiency of this technique with empirical results.