Dynamic sharing of large-scale visualization

作     者：Huang, Jian Liu, Huadong Beck, Micah Gaston, Andrew Gao, Jinzhu Moore, Terry 

作者机构：Univ Tennessee Knoxville TN USA Oak Ridge Natl Lab Oak Ridge TN USA 

出 版 物：《IEEE COMPUTER GRAPHICS AND APPLICATIONS》 (IEEE Comput Graphics Appl)

年 卷 期：2007年第27卷第1期

页      面：20-25页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 

主　　题：data visualisation groupware Internet distributed heterogeneous resources dynamic sharing geographical distances hypothesis verification large-scale visualization parallel infrastructure qualitative exploration and scalable visualization collaborative vi Visualization Groupware Data visualisation Internets distributed energy resources 

摘      要：Visualization is a research tool that computational scientists use for qualitative exploration, hypothesis verification, and result presentation. Driven by needs for large user groups to collaborate across geographical distances, visualization must now also serve as an effective means to share concrete data as well as abstract ideas over the Internet. Yet there is simply no expeditious and practical way for users collaborating in this wide area to share large visualizations in a dynamic fashion. Using distributed heterogeneous resources as a basic parallel infrastructure to compute visualization could provide great potential usability, scalability, and cost efficiency. To justify our viewpoint, we describe a sample system of this nature and demonstrate its efficacy with a recently generated real-world large data set