High performance visualization of time-varying volume data over a wide-area network status
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Large-Scale Data Visualization Using Parallel Data Streaming
IEEE Computer Graphics and Applications
The Grid and Future Visualization System Architectures
IEEE Computer Graphics and Applications
Comparison of Remote Visualization Strategies for Interactive Exploration of Large Data Sets
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Optimizing Execution of Component-based Applications using Group Instances
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
3D Data Visualization on the Web
MMM '98 Proceedings of the 1998 Conference on MultiMedia Modeling
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Remote Visualization by Browsing Image Based Databases with Logistical Networking
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Network transportation and optimization for grid-enabled visualization techniques
Neural, Parallel & Scientific Computations - Special issue: Grid computing
ManyEyes: a Site for Visualization at Internet Scale
IEEE Transactions on Visualization and Computer Graphics
Self-Adaptive Configuration of Visualization Pipeline Over Wide-Area Networks
IEEE Transactions on Computers
IEEE Computer Graphics and Applications
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
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With the development of science, research on data analysis is becoming increasingly important. However, sometimes it is difficult to draw a conclusion from a complex data set. Data Visualization has been widely used for people to understand more about their datasets by representing the data in a way that visually highlights the relationships. As the size of data grows exponentially, keeping multiple local copies of the data becomes unrealistic for a collaborative research project. In this paper, we design and develop a cybertool, CT-IANP, which supports collaborative research in the area of atmospheric nucleation. The paper shows how Java 3D, web-based tools, and other techniques are used to achieve the goal.