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Indices and materialized views are physical structures that accelerate dataaccess in data warehouses. However, these data structures generate somemaintenance overhead. They also share the same storage space. The existingstudies about index and materialized view selection consider these structuresseparately. In this paper, we adopt the opposite stance and couple index andmaterialized view selection to take into account the interactions between themand achieve an efficient storage space sharing. We develop cost models thatevaluate the respective benefit of indexing and view materialization. Thesecost models are then exploited by a greedy algorithm to select a relevantconfiguration of indices and materialized views. Experimental results show thatour strategy performs better than the independent selection of indices andmaterialized views.

S\'election simultan\'ee d'index et de vues mat\'erialis\'ees