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Fourth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'04)
Serving queries to multi-resolution datasets on disk-based storage clusters
Chicago, IL, USA
April 19-April 22
ISBN: 0-7803-8430-X
ASCII Text
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Xi Zhang, T. Pan, U. Catalyurek, T. Kurc, J. Saltz, "Serving queries to multi-resolution datasets on disk-based storage clusters," Cluster Computing and the Grid, IEEE International Symposium on, pp. 490-498, Fourth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'04), 2004.
 
 
BibTex
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@article{ 10.1109/CCGrid.2004.1336605,
author = {Xi Zhang and T. Pan and U. Catalyurek and T. Kurc and J. Saltz},
title = {Serving queries to multi-resolution datasets on disk-based storage clusters},
journal ={Cluster Computing and the Grid, IEEE International Symposium on},
volume = {0},
year = {2004},
isbn = {0-7803-8430-X},
pages = {490-498},
doi = {http://doi.ieeecomputersociety.org/10.1109/CCGrid.2004.1336605},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Cluster Computing and the Grid, IEEE International Symposium on
TI - Serving queries to multi-resolution datasets on disk-based storage clusters
SN - 0-7803-8430-X
SP490
EP498
A1 - Xi Zhang,
A1 - T. Pan,
A1 - U. Catalyurek,
A1 - T. Kurc,
A1 - J. Saltz,
PY - 2004
VL - 0
JA - Cluster Computing and the Grid, IEEE International Symposium on
ER -
 
Xi Zhang, Dept. of Biomed. Informatics, Ohio State Univ., Columbus, OH, USA
T. Pan, Dept. of Biomed. Informatics, Ohio State Univ., Columbus, OH, USA
U. Catalyurek, Dept. of Biomed. Informatics, Ohio State Univ., Columbus, OH, USA
T. Kurc, Dept. of Biomed. Informatics, Ohio State Univ., Columbus, OH, USA
J. Saltz, Dept. of Biomed. Informatics, Ohio State Univ., Columbus, OH, USA
This paper is concerned with efficient querying of very large multi-resolution datasets on storage and compute clusters. We present a suite of services that support storage, indexing, and data processing (data sampling and data aggregation) on datasets that consist of a collection of multi-resolution Grids. We empirically evaluate the performance impact of different data declustering, indexing, and query processing strategies. The experimental evaluation is carried out using a data server implemented to serve multi-terabyte multi-resolution volumetric datasets to remote visualization clients and a one-terabyte multi-resolution volumetric dataset on a PC cluster with distributed disk space.
Citation:
Xi Zhang, T. Pan, U. Catalyurek, T. Kurc, J. Saltz, "Serving queries to multi-resolution datasets on disk-based storage clusters," ccgrid, pp.490-498, Fourth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'04), 2004
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