A dynamic statistical method based on peer grouping for spatial data access laws in a distributed system
The spatial data access laws reflects the general characteristics of user preferences in tile access. According to the access laws, the strategy of storage and organization can be adjusted and utilized to store the spatial data in right place. However, the tile access has dynamic features(server peer capability, storage device and hot tiles have dynamic features). Dynamic statistical method are an important theoretical basis for improving the accuracy of storage and organization. A dynamic statistical method for the access law of spatial data based on the peer grouping is proposed in this paper to resolve above-mentioned problems. All distributed server peers are grouped and the size of group is controlled to reduce the flow rate of exchanging spatial data access information each other. The capabilities of the server nodes are calculated in this algorithm. And the leader peer with good service capabilities are chosen preferentially in the group to fuse dynamic statistical information. The experimental results show that this method has a shorter average fusion time for the dynamic statistics of spatial data access laws and thus can improve the efficiency of the large scale distributed spatial information service system. Keywords-Grouping; Spatial data; Distribution law; Dynamic statistics