19th International Conference on Data Engineering (ICDE'03)
A Heuristic for Refresh Policy Selection in Heterogeneous Environments
Bangalore, India
March 05-March 08
ISBN: 0-7803-7665-X
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.
Citation:
Henrik Engstr?, Sharma Chakravarthy, Brian Lings, "A Heuristic for Refresh Policy Selection in Heterogeneous Environments," icde, pp.674, 19th International Conference on Data Engineering (ICDE'03), 2003
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