Rule-based visualization in the discover computational steering collaborator

Hua Liu; Lian Jiang; Manish Parashar; Deborah Silver

doi:10.1016/j.future.2004.09.020

Rule-based visualization in the discover computational steering collaborator

Hua Liu, Lian Jiang, Manish Parashar, Deborah Silver

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

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.

Original language	English (US)
Pages (from-to)	53-59
Number of pages	7
Journal	Future Generation Computer Systems
Volume	21
Issue number	1
DOIs	https://doi.org/10.1016/j.future.2004.09.020
State	Published - Jan 1 2005

All Science Journal Classification (ASJC) codes

Software
Hardware and Architecture
Computer Networks and Communications

Keywords

Computational steering
Feature tracking
Rule-based visualization

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10.1016/j.future.2004.09.020

Cite this

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AU - Parashar, Manish

AU - Silver, Deborah

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AB - 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.

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Rule-based visualization in the discover computational steering collaborator

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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