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This paper proposes the Distributed Synchronous Traversal algorithm (DST) for distributed processing of spatial join with multiple datasets (Multi-way Spatial Join). It was evalueted over clusters up to eigth servers, and just like the Synchronous Traversal algorithm, performs spatial join by synchronously traversing the input R-Trees. The experiments results on real datasets have shown that the algorithm provides a satisfactory degree of horizontal scalability.

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