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Proceedings Paper

Grid-optimized Web 3D applications on wide area network
Author(s): Frank Wang; Na Helian; Lingkui Meng; Sining Wu; Wen Zhang; Yike Guo; Michael Andrew Parker
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Paper Abstract

Geographical information system has come into the Web Service times now. In this paper, Web3D applications have been developed based on our developed Gridjet platform, which provides a more effective solution for massive 3D geo-dataset sharing in distributed environments. Web3D services enabling web users could access the services as 3D scenes, virtual geographical environment and so on. However, Web3D services should be shared by thousands of essential users that inherently distributed on different geography locations. Large 3D geo-datasets need to be transferred to distributed clients via conventional HTTP, NFS and FTP protocols, which often encounters long waits and frustration in distributed wide area network environments. GridJet was used as the underlying engine between the Web 3D application node and geo-data server that utilizes a wide range of technologies including the one of paralleling the remote file access, which is a WAN/Grid-optimized protocol and provides "local-like" accesses to remote 3D geo-datasets. No change in the way of using software is required since the multi-streamed GridJet protocol remains fully compatible with existing IP infrastructures. Our recent progress includes a real-world test that Web3D applications as Google Earth over the GridJet protocol beats those over the classic ones by a factor of 2-7 where the transfer distance is over 10,000 km.

Paper Details

Date Published: 10 September 2008
PDF: 14 pages
Proc. SPIE 7084, Satellite Data Compression, Communication, and Processing IV, 70840H (10 September 2008); doi: 10.1117/12.798404
Show Author Affiliations
Frank Wang, Cambridge-Cranfield High Performance Computing Facility (United Kingdom)
Na Helian, Univ. of Hertfordshire (United Kingdom)
Lingkui Meng, Wuhan Univ. (China)
Sining Wu, Cambridge-Cranfield High Performance Computing Facility (United Kingdom)
Wen Zhang, Wuhan Univ. (China)
Yike Guo, Imperial College (United Kingdom)
Michael Andrew Parker, Cambridge Univ. (United Kingdom)


Published in SPIE Proceedings Vol. 7084:
Satellite Data Compression, Communication, and Processing IV
Bormin Huang; Roger W. Heymann; Joan Serra-Sagristà, Editor(s)

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