Serving queries to multi-resolution datasets on disk-based storage clusters

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	Similar Articles Articles by Xi Zhang Articles by T. Pan Articles by U. Catalyurek Articles by T. Kurc Articles by J. Saltz

Fourth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'04)

Chicago, IL, USA

April 19-April 22

ISBN: 0-7803-8430-X

	ASCII Text	x
	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	x
	@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	x
	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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CCGrid.2004.1336605

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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