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ADC '01 Proceedings of the 12th Australasian database conference
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DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
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Fundamenta Informaticae - Special issue on the 9th international conference on rough sets, fuzzy sets, data mining and granular computing (RSFDGrC 2003)
Partition-based workload scheduling in living data warehouse environments
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Fundamenta Informaticae - The 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Conputing (RSFDGrC 2003)
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Some of the most recently proposed algorithms for the incremental maintenance of materialized data warehouses (DW), such as SWEEP and PSWEEP, offer several significant advantages over previous solutions, such as high-performance, no potential for infinite waits and reduced remote queries and thus reduced network and information source (IS) loads. However, similar to many other algorithms, they still have the restricting assumption that each IS can be composed of just one single relation. This is unrealistic in practice. In this paper, we hence propose a solution to overcome this restriction. The Multi-Relation Encapsulation (MRE) Wrapper supports multiple relations in ISs in a manner transparent to the rest of the environment. The MRE Wrapper treats one IS composed of multiple relations as if it were a single relation from the DW point of view; thus any existing incremental view maintenance algorithms can now be applied even to such complex ISs without any changes. Hence, our method maintains all advantages offered by existing algorithms in particular SWEEP and PSWEEP, while also achieving the additional desired features of being non-intrusive, efficient, flexible and well-behaved.