林业资源数据集群的快速索引设计
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  • 英文篇名:Design of Fast Index for Forest Resources Data Cluster
  • 作者:李惺颖 ; 谢阳生 ; 唐小明 ; 罗鹏 ; 黄龙
  • 英文作者:LI Xing-ying;XIE Yang-sheng;TANG Xiao-ming;LUO Peng;HUANG Long;Research Institute of Resource and Information Chinese Academy of Forestry;School of Soil and Water Conservation,Beijing Forestry University;
  • 关键词:林业资源 ; 集群数据存储 ; 多库存储 ; 并行索引
  • 英文关键词:forestry resource;;cluster data storage;;multiple database storage;;parallel index
  • 中文刊名:JLDX
  • 英文刊名:Journal of Jilin University(Science Edition)
  • 机构:中国林业科学研究院资源信息研究所;北京林业大学水土保持学院;
  • 出版日期:2013-11-26
  • 出版单位:吉林大学学报(理学版)
  • 年:2013
  • 期:v.51;No.204
  • 基金:林业公益性科研专项基金(批准号:201304215)
  • 语种:中文;
  • 页:JLDX201306029
  • 页数:7
  • CN:06
  • ISSN:22-1340/O
  • 分类号:139-145
摘要
设计一种快速索引以管理分布存储的林业资源数据,通过大量独立数据节点共同负载数据请求,减少数据访问过程的互斥,实现了空间与属性数据的分布式存储并行访问.实验结果表明,基于目前的应用服务器集群,应用该快速索引方法,能以较低的改进成本提高整个数据集群的快速统计和更新能力.
        This paper describes the design of a fast index for distributed storage of forestry resource data.According to the load data request of a large number of independent data nodes to reduce the mutual exclusion during data access,parallel access was realized for distributed storage of spatial and attributive data.Based on the common application server cluster,this fast index can be used by making the minor modifications of data access process so as to improve the performance of statistics and update of the whole data cluster with low cost.
引文
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