DocumentCode :
2412554
Title :
Distributed data management for large volume visualization
Author :
Gao, J. ; Huang, Jie ; Johnson, C. ; Atchley, Scott
Author_Institution :
Oak Ridge Nat. Lab., TN, USA
fYear :
2005
fDate :
23-28 Oct. 2005
Firstpage :
183
Lastpage :
189
Abstract :
We propose a distributed data management scheme for large data visualization that emphasizes efficient data sharing and access. To minimize data access time and support users with a variety of local computing capabilities, we introduce an adaptive data selection method based on an "enhanced time-space partitioning" (ETSP) tree that assists with effective visibility culling, as well as multiresolution data selection. By traversing the tree, our data management algorithm can quickly identify the visible regions of data, and, for each region, adaptively choose the lowest resolution satisfying user-specified error tolerances. Only necessary data elements are accessed and sent to the visualization pipeline. To further address the issue of sharing large-scale data among geographically distributed collaborative teams, we have designed an infrastructure for integrating our data management technique with a distributed data storage system provided by logistical networking (LoN). Data sets at different resolutions are generated and uploaded to LoN for wide-area access. We describe a parallel volume rendering system that verifies the effectiveness of our data storage, selection and access scheme.
Keywords :
data visualisation; distributed databases; information retrieval; information storage; rendering (computer graphics); temporal databases; tree data structures; wide area networks; adaptive data selection method; distributed data management; distributed data storage system; enhanced time-space partitioning tree; geographically distributed collaborative teams; large volume visualization; logistical networking; multiresolution data selection; parallel volume rendering system; user-specified error tolerances; Collaboration; Computational modeling; Computer graphics; Computer networks; Data visualization; Distributed computing; Distributed decision making; Middleware; Rendering (computer graphics); Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visualization, 2005. VIS 05. IEEE
Print_ISBN :
0-7803-9462-3
Type :
conf
DOI :
10.1109/VISUAL.2005.1532794
Filename :
1532794
Link To Document :
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