Earticle

초록

영어

Cloud computing technology is changing the mode of the spatial information industry which is applied and provides new ideas for it. Since Hadoop platform provides easy expansion, high performance, high fault tolerance and other advantages, we propose a novel vector spatial data storage schema based on it to solve the problems on how to use cloud computing technology to directly manage spatial data and present data topological relations. Firstly, vector spatial data storage schema is designed based on column-oriented storage structures and key/value mapping to express spatial topological relations. Secondly, we design middleware and merge with vector spatial data storage schema in order to directly store spatial data and present geospatial data access refinement schemes based on GeoTools toolkit. Thirdly, we verify the middleware and the data storage schema through Hadoop cluster experiments. Comprehensive experiments demonstrate that our proposal is efficient and applicable to directly storing large-scale vector spatial data and timely express spatial topological relations.

목차

Abstract
 1. Introduction
 2. Data Storage based on Hadoop
  2.1. Distributed File System HDFS
  2.2. HBase Database’s Storage Mechanism
 3. Designing Vector Spatial Data Storage Schema
  3.1. Vector Spatial Object Model
  3.2. Vector Spatial Data Logical Storage
  3.3. Vector Spatial Data Physical Storage
 4. Research Methodology
  4.1. Experimental Environment
  4.2. Developing Middleware Based on GeoTools
  4.3. Experimental Results
 5. Conclusions and Future Work
 Acknowledgments
 References

키워드

저자

• Kun Zheng [ Faculty of Information Engineering, China University of Geoscience, Wuhan 430074, China ]
• Yanli Fu [ Faculty of Information Engineering, China University of Geoscience, Wuhan 430074, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605