Research on Cache Quadtree: A Cache Index for Spatial Data Based on Intelligent Material System

Author:

Zhang Zhong Jie1,Zhao De Peng1,Wang De Qiang1

Affiliation:

1. Dalian Maritime University

Abstract

This paper presents a new spatial index structure - cache quadtree. Cache quadtree combined with the advantages of spatial indexing and caching. According to the characteristics of spatial data, query uses the previous query results as much as possible, only the necessary queries are performed on the server. Meanwhile, full use of query results in the cache tree; reduce the server's query and its query range. Our paper gives the cache quadtree structure and the key algorithm in detail.

Publisher

Trans Tech Publications, Ltd.

Reference12 articles.

1. Jun-Ki Min: BEAST: A Buffer Replacement Algorithm Using Spatial and Temporal Locality (Springer-Verlag Berlin Heidelberg 2006).

2. LI Dong-jun, Zeng Guo-sun: Spatial data buffer policy based on quadtree. Computer Engineer ing and Applications, (2008).

3. R.C. Mittal: Space-filling Curves (2000).

4. P.J. Couch, B.D. Daniel, Timothy H. McNicholl: Computing Space-Filling Curves. Springer Science+Business Media, LLC (2010).

5. LIU Shu-qun, GENG De-lei: The Generation Method of 2D Space-Filling Curves. Journal of Gan su Sciences, (2011).

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