Rule-based visualization in the Discover computational steering collaboratory

被引：6
|
作者：
Liu, H [1 ]
Jiang, L
Parashar, M
Silver, D
机构：
[1] Rutgers State Univ, Dept Elect & Comp Engn, TASSL, Piscataway, NJ 08854 USA
[2] Rutgers State Univ, Dept Elect & Comp Engn, VIZLAB, Piscataway, NJ 08854 USA
来源：
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2005年 / 21卷 / 01期
基金：
美国国家科学基金会;
关键词：
rule-based visualization; computational steering; feature tracking;
D O I：
10.1016/j.future.2004.09.020
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码：53 / 59
页数：7
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