In this paper, we introduce the concept of rule-based visualization for a computational steering collaboratory and show how these rules can be used to steer the behaviors of the visualization subsystem. Rules define high-level policies and are used to autonomically select and tune the visualization routines based on application requirements and available computing/network resources. Such an autonomic management of the visualization subsystem can significantly improve the effectiveness of computational steering collaboratories in wide-area Grid environments.
['Hua Liu', 'Lian Jiang', 'Manish Parashar', 'Deborah Silver']
Rule-based visualization in the discover computational steering collaboratory