![]() ![]() ![]() In particular, researchers and developers often use the client–server paradigm as a logical means to partition rendering responsibilities, efficiently utilizing valuable resources on both local and remote machines. 2.Īdjusting the amount of rendering performed on a local server versus on a remote client in order to optimally utilize resources, such as available bandwidth between the server and the client. ![]() Increasing network bandwidth utilization. General strategies available for achieving remote visualization fall into four rough categories: In fact, many algorithms have been developed as solutions. Remote and collaborative visualization is by no means a new problem. Certainly, visualization on grid based systems is also a driving demand for remote visualization tools. Additionally, the ability to use remote high-end computation resources is also driving the need for remote visualization tools. Researchers often need to extend this interactivity in order to collaborate remotely with colleagues. The recent interest in these tools has developed because researchers often use interactive viewing as their primary method of exploring large datasets. Collaborative visualization is the use of tools (chat windows, annotations, synchronous viewing controls, etc.) that enable multiple geographically separated collaborators to directly exchange and simultaneously view information related to specific visualizations. Remote visualization refers to the process of running an application on one machine, often a supercomputer, and viewing the output on another machine in a different geographical location. In the last few years, scientists and researchers have given a great deal of attention to the area of remote visualization of scientific datasets within collaborative environments. JONES, in Visualization Handbook, 2005 31.3 Remote and Collaborative Visualization Visualization in the SCIRun Problem-Solving EnvironmentĭAVID M. ![]()
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