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The current grid computing practices and techniques built on static resource management technique associate with several drawbacks. These drawbacks forced the current grid systems of taking the direction of remote viewing and zooming techniques of already processed images. There is an urgent need for algorithms and techniques to support automatic resources discovery and selection of grid resources. This research investigates how the grid services could be used to support remote visualization. The implemented grid enabled visualization architecture is supported with an automatic resources selection mechanism to enable the visualization pipeline components to be automatically orchestrated without human interference. The presented findings are supported with practical implementation of grid enabled visualization prototype.
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