海量三维地质空间数据的自适应预调度方法

基金项目: 国家863计划资助项目(2008AA121602)

详细信息

Self-Adaptive Pre-Load Method for Massive 3D Geological Data

¹Faculty of Earth Resources,School of Computer,China University of Geosciences,388 Lumo Road,Wuhan 430074,China

Funds: 国家863计划资助项目(2008AA121602)

摘要: 针对大规模三维地质空间数据实时应用中的高效调度难题,采用空间聚类和空间插值理论,将缓存中的空间对象视为样品数据,将这些对象的命中率作为估值权值,将空间索引中的空间对象信息当作待估值数据,兼顾系统的内存容量和CPU的计算能力,设计实现了海量三维地质空间数据的自适应预调度算法。实验结果证明了该方法的正确性和有效性。
- 空间聚类 /
- 预调度 /
- 空间索引 /
- 自适应
Abstract: Aiming at the difficult problems of massive geological data load,the theoretical basis is spatial clustering and spatial interpolation.The spatial objects in cache are regarded as sample data,the hit-ratio of these objects are thought as interpolation weight,and the object information in spatial index are look upon as estimated data,and the RAM and the computing capabilities of CPU are also took into account.The self-adaptive pre-load method on massive 3D spatial data in geological space are designed,and the experimental result shows that our proposed method is correct and efficiency.
- spatial clustering /
- pre-load /
- spatial index /
- self-adaptive