Remote Visualization Based on Grid Computing

Remote visualization can not be well done in interactive way because of lacking of the expensive equipments and a large amount of resources in the past. With the development of Grid, it becomes possible. This paper discusses the pipeline of remote visualization technology based on Grid Computing. Moreover, we analyze and propose the basic framework of remote visualization technology for Grid. In addition, methods on improving the performance of visualization in Grid environment are discussed.

[1]  John Shalf,et al.  Cactus and Visapult: An ultra-high performance grid-distributed visualization architecture using connectionless protocols , 2002 .

[2]  Seth J. Teller,et al.  Real-time occlusion culling for models with large occluders , 1997, SI3D.

[3]  Zhigeng Pan,et al.  Multi-Resolution Modeling for Virtual Design , 2000 .

[4]  Charles Hansen,et al.  View dependent isosurface extraction , 1998 .

[5]  Tzi-cker Chiueh,et al.  Integrated volume compression and visualization , 1997 .

[6]  Markus H. Gross,et al.  Compression Domain Volume Rendering for Distributed Environments , 1997, Comput. Graph. Forum.

[7]  John Shalf,et al.  The Grid and Future Visualization System Architectures , 2003, IEEE Computer Graphics and Applications.

[8]  Kun Zhou,et al.  Level of Detail and Multi-Resolution Modeling for Virtual Prototyping , 2001, Int. J. Image Graph..

[9]  Ian T. Foster,et al.  Globus: a Metacomputing Infrastructure Toolkit , 1997, Int. J. High Perform. Comput. Appl..

[10]  Jason Lee,et al.  A network-aware distributed storage cache for data intensive environments , 1999, Proceedings. The Eighth International Symposium on High Performance Distributed Computing (Cat. No.99TH8469).

[11]  John Shalf,et al.  Ieee Computer Graphics and Applications Numerical Relativity Grid-distributed Visualizations Using Connectionless Protocols Graphics Applications for Grid Computing , 2022 .

[12]  Alyn P. Rockwood,et al.  Enabling View-Dependent Progressive Volume Visualization on the Grid , 2003, IEEE Computer Graphics and Applications.

[13]  William E. Johnston,et al.  A Network-Aware Distributed Storage Cache for Data Intensive Environments , 1999 .

[14]  W. Bethel.  Visualization dot com , 2000 .

[15]  Greg Humphreys,et al.  Chromium: a stream-processing framework for interactive rendering on clusters , 2002, SIGGRAPH.

[16]  Dieter Kranzlmüller,et al.  Optimizations in the grid visualization kernel , 2002, Proceedings 16th International Parallel and Distributed Processing Symposium.

[17]  Victoria Interrante,et al.  Visualization viewpoints , 2003 .

[18]  Bernd Hamann,et al.  Interactive display of surfaces using subdivision surfaces and wavelets , 2001, Proceedings Spring Conference on Computer Graphics.

[19]  Ken Brodlie,et al.  Visualization over the World Wide Web and its application to environmental data , 1996, Proceedings of Seventh Annual IEEE Visualization '96.

[20]  Peter A. Dinda,et al.  Preliminary Report on the Design of a Framework for Distributed Visualization , 1999, PDPTA.

[21]  Valerio Pascucci,et al.  Interactive view-dependent rendering of large isosurfaces , 2002, IEEE Visualization, 2002. VIS 2002..