吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

基于瓦片金字塔模型的海量空间数据快速分发方法

殷君茹, 侯瑞霞, 唐小明, 罗鹏   

  1. 中国林业科学研究院 资源信息研究所, 北京 100091
  • 收稿日期:2014-11-17 出版日期:2015-11-26 发布日期:2015-11-23
  • 通讯作者: 侯瑞霞 E-mail:hrx2004126@126.com

Fast Distribution Method for Large Data Set of Spatial Data Based on Tiles Pyramid Model

YIN Junru, HOU Ruixia, TANG Xiaoming, LUO Peng   

  1. Institute of Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
  • Received:2014-11-17 Online:2015-11-26 Published:2015-11-23
  • Contact: HOU Ruixia E-mail:hrx2004126@126.com

摘要:

针对分布式并行环境下海量空间数据的快速显示和浏览问题, 提出一种基于分层\, 分专题的海量空间数据金字塔模型及基于数据库存储方案的瓦片数据快速分发方法. 对比分析了瓦片数据在文件式管理和数据库管理两种模式下的存储机制和响应流程, 并以时间跨度59年[KG*8]的沙尘暴观测数据为例, 验证了该方法不仅能有效地组织管理海量空间数据, 实现高效数据互操作, 而且在多用户并发访问时, 能快速响应客户端请求.

关键词: 瓦片金字塔模型, 海量空间数据, 数据库, 分布式并行环境

Abstract:

In view of the problem of showing and browsing large data set of spatial data in the distributed parallel environment quickly, not only one kind of massive spatial pyramid model based on a hierarchical and special topic mechanism, but high access performance tile map service based on database storage scheme under the tiles pyramid model technology were proposed. The mechanism of tile data file management and database management under the storage performance and response process were comparatively analyzed. Moreover, sand and dust storm observation data for 59 years was taken as an example to validate that this method can not only effectively organize and manage massive spatial data to achieve efficient data interoperability, but also quickly respond to client requests in the multi\|user concurrent access.

Key words: tiles pyramid model technology, large data set of spatial data, database, distributed parallel environment

中图分类号: 

  • TP393