Understanding Grid resource information management through a synthetic database benchmark/workload

Chicago, IL, USA April 19-April 22

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http://doi.ieeecomputersociety.org/10.1109/CCGrid.2004.1336578

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	B. Plale, C. Jacobs, S. Jensen, Ying Liu, C. Moad, R. Parab, P. Vaidya, "Understanding Grid resource information management through a synthetic database benchmark/workload," Cluster Computing and the Grid, IEEE International Symposium on, pp. 277-284, Fourth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'04), 2004.

	BibTex	x
	@article{ 10.1109/CCGrid.2004.1336578, author = {B. Plale and C. Jacobs and S. Jensen and Ying Liu and C. Moad and R. Parab and P. Vaidya}, title = {Understanding Grid resource information management through a synthetic database benchmark/workload}, journal ={Cluster Computing and the Grid, IEEE International Symposium on}, volume = {0}, year = {2004}, isbn = {0-7803-8430-X}, pages = {277-284}, doi = {http://doi.ieeecomputersociety.org/10.1109/CCGrid.2004.1336578}, 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 - Understanding Grid resource information management through a synthetic database benchmark/workload SN - 0-7803-8430-X SP277 EP284 A1 - B. Plale, A1 - C. Jacobs, A1 - S. Jensen, A1 - Ying Liu, A1 - C. Moad, A1 - R. Parab, A1 - P. Vaidya, PY - 2004 VL - 0 JA - Cluster Computing and the Grid, IEEE International Symposium on ER -

B. Plale, Dept. of Comput. Sci., Indiana Univ., Bloomington, IN, USA

C. Jacobs, Dept. of Comput. Sci., Indiana Univ., Bloomington, IN, USA

S. Jensen, Dept. of Comput. Sci., Indiana Univ., Bloomington, IN, USA

Ying Liu, Dept. of Comput. Sci., Indiana Univ., Bloomington, IN, USA

C. Moad, Dept. of Comput. Sci., Indiana Univ., Bloomington, IN, USA

R. Parab, Dept. of Comput. Sci., Indiana Univ., Bloomington, IN, USA

P. Vaidya, Dept. of Comput. Sci., Indiana Univ., Bloomington, IN, USA

Management of Grid resource information is a challenging, and important area considering the potential size of the Grid and wide range of resources that should be represented. Though example Grid Information Servers exist, behavior of these servers across different platforms is less well understood. This paper describes a study we undertook to compare the access language and platform capabilities for three different database platforms, relational, native XML, and LDAP, serving as a Grid information server. Our study measures query response times for a range of queries and highlights sensitivities exhibited by the different platforms to variables such as result set size and collection size.

Citation:

B. Plale, C. Jacobs, S. Jensen, Ying Liu, C. Moad, R. Parab, P. Vaidya, "Understanding Grid resource information management through a synthetic database benchmark/workload," ccgrid, pp.277-284, Fourth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'04), 2004

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