Advertisement

Design of GridGIS Architecture

  • Jianqin Wang
  • Yong Xue
  • Yuxin Jiang
  • Chenghu Zhou
  • Rongguo Chen
  • Jianping Guo
  • Wei Wan
  • Lei Zheng
  • Yi Xie
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4331)

Abstract

Grid Geospatial Information Service (Grid GIS) system aims to study and develop grid-based uniform spatial information access and analysis system. Data resources of Grid GIS include not only original and traditional GIS data but remotely sensed data. Analysis function is made up of not only single spatial information access but complex and quick data processing. The Grid GIS system can provide not only convenient and quick spatial information access service but a second developing environment to satisfy all kinds of user requirements. In this paper we mainly discuss Grid GIS system framework and running-framework design. To clearly demonstration how to develop the Grid GIS system, we describe service and interface criterion. Series of geospatial information standards are also discussed to adapt system extend requirement.

Keywords

Data Resource Grid Environment Geospatial Information Centralize Topology Laser Interferometer Gravitational Wave Observatory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Foster, I., Kesselman, C. (eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, San Francisco (1999)Google Scholar
  2. 2.
    Gilbert, L., Tseng, J., Newman, R., et al.: Implications of virtualization on Grids for high energy physics applications. Journal of Parallel and Distributed Computing 66(7), 922–930 (2006)CrossRefGoogle Scholar
  3. 3.
    Eigenmann, R., Voss, M.J.: Towards a compilation paradigm for computational applications on the information power grid. Mathematics and Computers in Simulation 54(4-5), 307–320 (2000)MATHCrossRefMathSciNetGoogle Scholar
  4. 4.
    Shen, Z., Luo, J., et al.: Architecture design of grid GIS and its applications on image processing based on LAN Information Sciences, vol. 166, pp. 1–17 (2004)Google Scholar
  5. 5.
    Zeinalipour-Yazti, D., Kalogeraki, V., Gunopulos, D.: Exploiting locality for scalable information retrieval in peer-to-peer networks. Information Systems 30(4), 277–298 (2005)CrossRefGoogle Scholar
  6. 6.
    Antonioletti, M., Atkinson, M., Laws, S., Malaika, S., Paton, N., Pearson, D., Riccardi, G.: Web services data access and integration (WS-DAI). In: 13th Global Grid Forum (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jianqin Wang
    • 1
  • Yong Xue
    • 2
    • 4
  • Yuxin Jiang
    • 1
  • Chenghu Zhou
    • 3
  • Rongguo Chen
    • 3
  • Jianping Guo
    • 2
    • 5
  • Wei Wan
    • 2
    • 5
  • Lei Zheng
    • 2
    • 5
  • Yi Xie
    • 1
  1. 1.College of Information and Electrical EngineeringChina Agricultural UniversityBeijingChina
  2. 2.State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of, Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing ApplicationsChinese Academy of SciencesBeijingChina
  3. 3.Institute of Geographical Sciences and Natural Resources Research of Chinese Academy of SciencesBeijingChina
  4. 4.Department of ComputingLondon Metropolitan UniversityLondonUK
  5. 5.Graduate SchoolChinese Academy of SciencesBeijingChina

Personalised recommendations