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Distributed databases on local area networks present additional considerations for query optimization over databases on geographically distributed, point-to-point networks. This paper surveys and evaluates the state of current research on distributed query optimization for local area networks. A classification taxonomy is presented and used to analyze the proposed query-optimization algorithms. The unique features of each algorithm are highlighted and a qualitative comparison of the algorithms is given. Future research directions are discussed.