Fatores determinantes de desempenho de métodos de acesso multidimensionais

Ricardo Rodrigues CiferriAna Carolina Salgado

Spatial data base systems (SDBSs) deal with data that are special in nature and size. Thus, the technologies developed for conventional data base systems such as physical design, access methods, query optimizers and languages, have to be modified in order to satisfy the needs of a SDBS. These modifications, embedded in several SDBSs, or being proposed by research projects, need to be evaluated. Our research focuses specifically multidimensional access methods (MAMs), which are very important structures used to diminish the execution time of search operations in a SDBS. In this paper, we discuss two important factors that affect the performance of MAMs: degree of overlap between non-zero size data objects and data selectivity.

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