Rule-based visualization in the Discover computational steering collaboratory

Authors:
Hua Liu;Lian Jiang;Manish Parashar;Deborah Silver
Affiliations:
TASSL, Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA;VIZLAB, Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA;TASSL, Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA;VIZLAB, Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
Venue:
Future Generation Computer Systems
Year:
2005

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Abstract

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.