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
Link To Document :
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