A collaborative virtual geographic environment based on P2P and Grid technologies

  • Authors:

  • Jun Zhu;Jianhua Gong;Weiguo Liu;Tao Song;Jianqin Zhang

  • Affiliations:

  • State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences (CAS), 3 Datun Road, Chaoyang District, Beijing 100101, PR China and Surveying ...;State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences (CAS), 3 Datun Road, Chaoyang District, Beijing 100101, PR China;Department of Geography and Planning, The University of Toledo, Toledo, OH 43606, USA;GIS Laboratory, Department of Geoinformatic Engineering, Inha University, Yonghyundong 253, Namgu, Inchon 402-751, South Korea;State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences (CAS), 3 Datun Road, Chaoyang District, Beijing 100101, PR China

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2007

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Abstract

Solving a geographic problem usually requires collaborative work among a group of people in different geographic locations. Collaborative virtual geographic environment (CVGE), an integrated technology, offers an intuitive, efficient, and interactive visualization environment through which geographically separated users can explore complicated spatial information and conduct collaborative work. In this paper, two new technologies, Peer-to-Peer (P2P) and Grid computing, are tightly coupled to develop a CVGE system. This paper evaluates the potential contributions of the P2P and Grid technology to CVGE systems. Using a Grid based system architecture efficiently integrates and shares geographically distributed resources as well as modeling procedures built on different platforms. To offer a shared and interactive virtual collaborative geographic environment for resolving geographic problems, we developed several P2P services including a terrain visualization collaboration service and a video collaboration service. Finally, a CVGE prototype system is implemented for collaboration on silt dam planning on the Loess plateau. The experimental results show that the scheme developed in this paper is efficient and feasible.