A Feature-Based Replica Consistency Strategy for Spatial Data in Distributed GIS

In distributed Geographic Information System (GIS), spatial data has multi-source, heterogeneous characteristics, so there are data inconsistencies between nodes. Although there were many approaches about data consistency, a single strategy can not meet the replicas of spatial data which has large volume and complex topology. For the particularity of spatial data, through data partitioning, the paper proposed a hybrid replica consistency strategy, base on the feature of spatial data. In large-scale distributed GIS, According to the different update frequency of spatial data, use different data consistency policies to manage the geometric data and attributes data separately. Using above-mentioned strategy to manage spatial data replicas, it may be helpful in reducing the network communication between data sites, reducing the unwanted update checking, increasing the performance of systems, improving the update efficiency of the spatial data. This can complete the consistency of spatial data, and providing users with real-time, rapid and stable geographic information services.