Study on Data Collaboration Service for Collaborative Virtual Geographic Environment (original) (raw)

Abstract

The use of Collaborative Virtual Geographic Environments (CVGE) is one of the most promising uses of virtual reality in geographic field. Data collaboration can support multi-directional sharing of data and files, allowing ideas and thoughts to be communicated interactively among users. Thus how to integrate diverse and separated data and offer more convenient and intuitive data collaboration service becomes increasingly significant for implementing collaborative work in the CVGE. In this paper, we firstly design a Grid-based CVGE service framework and discuss the data searching mechanism and accessing control. A data collaboration service was built to integrate and share system internal resources and improve collaboration work efficiency. Finally, we built a collaborative virtual environment and implemented data collaboration service in silt dams system planning on a case study area, Jiu-Yuan-Gou watershed of Loess Plateau, China. Experiment results prove that the scheme addressed in the paper is efficient and feasible.

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References

  1. Shen, Z.F., Luo, J.C., Zhou, C.H.: Architecture design of grid GIS and its applications on image processing based on LAN. Information Sciences 166(1-4), 1–17 (2004)
    Article Google Scholar
  2. Lin, H., Zhu, Q.: Data Visualization: Virtual Geographic Environments combining AEC and GIS. Available from, http://vrlab.whu.edu.cn/chinese/study/study12.htm
  3. Wang, Q.: Research on Geographic collaborative work and group spatial decision support system, Institute of Geographical Sciences and Natural Resources Research, CAS, PhD Thesis (2002)
    Google Scholar
  4. Gong, J., Lin, H.: A Collaborative VGE: Design and Development [M]. In: Balram, S., Dragicevic, S. (eds.) A Chapter to a book entitled Collaborative Geographic Information Systems, pp. 186–206. Simon Fraser University, Canada (2006)
    Chapter Google Scholar
  5. Bouras, C., Philopoulos, A., Tsiatsos, T.: A networked intelligent distributed virtual training environment: a first approach. In: Proceedings of fifth Joint Conference on Information Sciences-JCIS 2000—1st International Workshop on Intelligent Multimedia Computing and Networking, vol. 2, pp. 604–607 (2000)
    Google Scholar
  6. Foster, I., Kesselman, C.: The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, San Francisco (1999)
    Google Scholar
  7. Foster, What is the grid? A three point checklist. Available from, http://www.gridtoday.com/02/0722/100136.html
  8. Foster, C., Kesselman, S.: Tuecke, The Anatomy of the Grid: Enabling Scalable Virtual Organizations., Available from, http://www.globus.org/research/papers.html#anatomy
  9. Foster, C., Kesselman, J.: Nick, The physiology of the grid: An open grid services architecture for distributed system integration. Technical report, Available from: http://www.globus.org/research/papers/ogsa.pdf
  10. Cai, H.L., Wang, J., Li, D., Jitender, S.D.: A novel state cache scheme in structured P2P systems. Journal of Parallel and Distributed Computing 65, 154–168 (2005)
    Article Google Scholar
  11. Chen, B., Ma, Z.G.,, G.: Network Based Real-time Fly-through on Massive Terrain Dataset. In: CAD/Graphics 2001, pp. 500–505 (2001)
    Google Scholar
  12. Willem, H.: Fast Terrain Rendering Using Geometrical MipMapping., Available from, http://www.flipcode.com/tutorials/geomipmaps.pdf

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Authors and Affiliations

  1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, 100101, P.R. China
    Jun Zhu & Jianhua Gong
  2. Key Laboratory of Poyang Lake Ecological Environment and Resource Development, Ministry of Education, P.R. China
    Jun Zhu
  3. Surveying Engineering Department, Southwest Jiaotong University, 610031, P.R. China
    Hua Qi
  4. GIS Lab, Department of Geoinformatic Engineering, Inha University, Yonghyundong 253, Namgu, Inchon, 402-751, South Korea
    Tao Song

Authors

  1. Jun Zhu
  2. Jianhua Gong
  3. Hua Qi
  4. Tao Song

Editor information

Editors and Affiliations

  1. State Key Lab of CAD and CG, Zhejiang University, Hangzhou, P.R. China
    Zhigeng Pan
  2. Mixed Reality Lab, National University of Singapore, Singapore
    Adrian Cheok
  3. Upper Austria University of Applied Science and Digital Media, Hagenberg, Austria
    Michael Haller
  4. Department of Computer Science, University of Durham, South Road, DH1 3LE, Durham, UK
    Rynson W. H. Lau
  5. Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi Kohoku-ku, 223-8522, Yokohama, Japan
    Hideo Saito
  6. College of Information Engineering, Zhejiang University of Technology, 310032, Hangzhou, P.R. China
    Ronghua Liang

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhu, J., Gong, J., Qi, H., Song, T. (2006). Study on Data Collaboration Service for Collaborative Virtual Geographic Environment. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds) Advances in Artificial Reality and Tele-Existence. ICAT 2006. Lecture Notes in Computer Science, vol 4282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941354\_35

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