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Published Articles >> Table of Contents >> Abstract
19th International Conference on Data Engineering (ICDE'03)
p. 674
A Heuristic for Refresh Policy Selection in Heterogeneous Environments
Henrik Engstrom, University of Skövde, Sweden
Sharma Chakravarthy, The University of Texas at Arlington
Brian Lings, The University of Exeter, UK
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2003.1260831
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| Abstract |
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This work addresses data warehouse maintenance, i.e. how changes to autonomous sources should be detected and propagated to a warehouse. We have extended our work on source characteristics and timings relevant to single source views by exploring data integration from (multiple) heterogeneous sources. We identify relevant maintenance policies and develop a set of heuristics to guide policy choice. On the basis of empirical (testbed) experiments, we claim that resulting selections are good.
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 Additional Information
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Citation:
Henrik Engstrom, Sharma Chakravarthy, Brian Lings,
"A Heuristic for Refresh Policy Selection in Heterogeneous Environments,"
icde,
p. 674,
19th International Conference on Data Engineering (ICDE'03),
2003
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