Research on Dynamic Statistics for Spatial Data Access Laws Based on P2P

Abstract:

The strategy of hierarchical storage can be adjusted utilizing the access rule of the spatial data, which will significantly improve system performance of spatial data services. The access and distribution rule of the spatial data based on Hotmap and Zipf-like cannot reflect its global information. A dynamic statistics algorithm for the distribution rule of the spatial data based on P2P is proposed in this paper. The service capabilities of the service nodes are calculated in our algorithm. The node agents with good service capabilities are chosen preferentially in the group. At the same time, the size of group is controlled. The experimental results show that the performance of our algorithm can be improved by about 28% compared with the algorithm of random nodes. The algorithm can meet the need of dynamic statistics in large scale distribution environment with high efficiency.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 1995-1998
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.1995
• Online since: August 2013
• Authors: Shao Ming Pan, Hong Li, Ge Tang
• Keywords: Distribution Law, Dynamic Statistics, Massive Data, P2P

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