Spatial Data Grid Framework Based on Super-Peer Network Model
Lingkui Meng, Wenjun Xie, Changqing Huang
Abstract
Lingkui Meng, Wenjun Xie, Changqing Huang
Abstract
Spatial data is generally managed by multiple organizations, and there are significant heterogeneities in these spatial data management nodes within each organization. In order to share spatial data over multiple organizations efficiently, we propose a comprehensive framework of federated spatial data grid based on super-peer network model. Concerning the high overlap of the bounding boxes in the directory of indexing information about spatial data, a spatial indexing method which extends X-tree for the framework is proposed. We introduce a dynamic maintenance mechanism to achieve excellent load balance, and an algorithm for spatial range queries is presented. Both the results of theoretic analysis and experiments show that the management of spatial data in the framework is efficient.
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Spatial data is generally managed by multiple organizations, and there are significant heterogeneities in these spatial data management nodes within each organization. In order to share spatial data over multiple organizations efficiently, we propose a comprehensive framework of federated spatial data grid based on super-peer network model. Concerning the high overlap of the bounding boxes in the directory of indexing information about spatial data, a spatial indexing method which extends X-tree for the framework is proposed. We introduce a dynamic maintenance mechanism to achieve excellent load balance, and an algorithm for spatial range queries is presented. Both the results of theoretic analysis and experiments show that the management of spatial data in the framework is efficient.
Key concepts: Computer science, Search engine indexing, Spatial analysis, Grid, Data mining, Spatial query, Directory, Bounding overwatch