网络环境下矢量数据高效并行可视化方法

郭明强, 黄颖, 吴亮, 谢忠

郭明强, 黄颖, 吴亮, 谢忠. 网络环境下矢量数据高效并行可视化方法[J]. 武汉大学学报 ( 信息科学版), 2014, 39(11): 1382-1386.
引用本文: 郭明强, 黄颖, 吴亮, 谢忠. 网络环境下矢量数据高效并行可视化方法[J]. 武汉大学学报 ( 信息科学版), 2014, 39(11): 1382-1386.
Guo Mingqiang, Huang Ying, Wu Liang, Xie Zhong. An Efficient Method for Parallel Visualization of Vector Maps Under the Network Environment[J]. Geomatics and Information Science of Wuhan University, 2014, 39(11): 1382-1386.
Citation: Guo Mingqiang, Huang Ying, Wu Liang, Xie Zhong. An Efficient Method for Parallel Visualization of Vector Maps Under the Network Environment[J]. Geomatics and Information Science of Wuhan University, 2014, 39(11): 1382-1386.

网络环境下矢量数据高效并行可视化方法

基金项目: 国家十二五科技支撑计划资助项目2011BAH06B04 中央高校基本科研业务费专项资金资助项目CUGL140833 中国博士后科学基金资助项目2014M552115
详细信息
    作者简介:

    郭明强博士 主要从事网络空间信息服务关键技术研究

  • 中图分类号: TP301.6 P208

An Efficient Method for Parallel Visualization of Vector Maps Under the Network Environment

  • 摘要: 针对网络环境下传统的矢量地图可视化模型中矢量数据可视化效率低,地图服务器集群并行处理能力弱的难题,提出一种基于矢量数据要素空间分布的矢量数据高效并行可视化方法。研究了矢量数据空间分布信息的采集、检索和分析原理,重点阐述了矢量数据实时可视化任务的分解与并行处理流程,最终实现了矢量数据的高效并行可视化,达到了充分利用地图服务器集群中并行计算资源的目的。仿真实验结果证明,矢量数据高效并行可视化方法可以提升网络地图服务集群的并行处理能力,满足大用户量并发访问的需求。
    Abstract: In order to solve the efficiency problem in vector map visualization with the traditional vector map visualization model,and to improve the capability of parallel processing for vector maps,a new approach for parallel visualization of vector maps is proposed,based on vector data spatial distribution information. This research focuses on the principles related to the collection,retrieval and analysis of vector data spatial distribution information. A workflow for decomposition and parallel processing are elaborated in this paper. Eventually,when all of the computing resources in a server cluster are sufficiently utilized,the parallel visualization of vector data can be realized. Simulation results demonstrate that the new approach proposed in this paper can improve the capability of a map server cluster,to meet the needs of massive concurrent users.
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出版历程
  • 收稿日期:  2013-07-03
  • 发布日期:  2014-11-04

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