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Evolutionary techniques for updating query cost models in a dynamic multidatabase environment
2004
The VLDB journal
Deriving local cost models for query optimization in a dynamic multidatabase system (MDBS) is a challenging issue. In this paper, we study how to evolve a query cost model to capture a slowly-changing dynamic MDBS environment so that the cost model is kept up-to-date all the time. Two novel evolutionary techniques, i.e., the shifting method and the block-moving method, are proposed. The former updates a cost model by taking up-to-date information from a new sample query into consideration at
doi:10.1007/s00778-003-0110-4
fatcat:7nirmyrrl5bs7mz74mhfbdrhni