Timely refresh of data-intensive websites
We study the feasibility of scheduling a refresh query set to keep a website fresh with respect to different update patterns of base data. We also propose an optimization technique to reduce the number of the executed refresh queries.
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sg-ntu-dr.10356-23672023-03-04T00:32:56Z Timely refresh of data-intensive websites Liu, Haifeng. Ng, Wee Keong School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval We study the feasibility of scheduling a refresh query set to keep a website fresh with respect to different update patterns of base data. We also propose an optimization technique to reduce the number of the executed refresh queries. Doctor of Philosophy (CSE) 2008-09-17T09:01:04Z 2008-09-17T09:01:04Z 2002 2002 Thesis http://hdl.handle.net/10356/2367 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Liu, Haifeng. Timely refresh of data-intensive websites |
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We study the feasibility of scheduling a refresh query set to keep a website fresh with respect to different update patterns of base data. We also propose an optimization technique to reduce the number of the executed refresh queries. |
author2 |
Ng, Wee Keong |
author_facet |
Ng, Wee Keong Liu, Haifeng. |
format |
Theses and Dissertations |
author |
Liu, Haifeng. |
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Liu, Haifeng. |
title |
Timely refresh of data-intensive websites |
title_short |
Timely refresh of data-intensive websites |
title_full |
Timely refresh of data-intensive websites |
title_fullStr |
Timely refresh of data-intensive websites |
title_full_unstemmed |
Timely refresh of data-intensive websites |
title_sort |
timely refresh of data-intensive websites |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/2367 |
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1759856720837869568 |