DocumentCode
3469206
Title
Understanding Grid resource information management through a synthetic database benchmark/workload
Author
Plale, Beth ; Jacobs, Craig ; Jensen, Scott ; Liu, Ying ; Moad, Charlie ; Parab, Rupali ; Vaidya, Prajakta
Author_Institution
Dept. of Comput. Sci., Indiana Univ., Bloomington, IN, USA
fYear
2004
fDate
19-22 April 2004
Firstpage
277
Lastpage
284
Abstract
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.
Keywords
XML; distributed databases; grid computing; performance evaluation; query languages; relational databases; resource allocation; Grid information server; Grid resource information management; LDAP; access language; collection size; native XML; platform capabilities; query response times; relational database; result set size; synthetic database benchmark; workload; Area measurement; Computational Intelligence Society; Computer science; Data models; Information management; Jacobian matrices; Relational databases; Resource management; Web services; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster Computing and the Grid, 2004. CCGrid 2004. IEEE International Symposium on
Print_ISBN
0-7803-8430-X
Type
conf
DOI
10.1109/CCGrid.2004.1336578
Filename
1336578
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