How to improve the query efficiency of grid information system is one of the key issues to improve grid performance. In the grid information system based on resource classification tree (computing resources are organized into a balanced binary tree according to their attributes and values), if the depth of resource classification tree is too large, the search efficiency will be reduced. To solve this problem, a query optimization scheme based on heuristic search algorithm is proposed and successfully applied to the original query system. The specific algorithm, experimental steps and result analysis are given. The experimental results show that the use of heuristic search can improve the query efficiency of grid query system. Keywords: grid information system; resource classification tree; heuristic search algorithm; query optimization
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