Title :
Experiences Running OGSA-DQP Queries against a Heterogeneous Distributed Scientific Database
Author_Institution :
Comput. Sci., Univ. of Hertfordshire, Hatfield, UK
Abstract :
This paper explores the use of emerging Grid technologies for the manipulation of a scientific dataset with complex schema. We focus on the potential of a well-known grid middleware-OGSA-DQP-for querying such datasets. In particular, we investigate running OGSA-DQP queries against SQL Server and Oracle database to access data in a complex schema of a real scientific database-the Sloan digital sky survey (SDSS) database. We used two common databases which support complex schemas and very large datasets: SQL Server and Oracle. The paper briefly provides the background information on the SDSS database. It then examines the running of a few OGSADQP queries and the query plans. Various join queries run successfully through OGSA-DQP after we optimized the implementation of some of the OGSA-DQP operations.
Keywords :
SQL; distributed databases; grid computing; middleware; query processing; relational databases; very large databases; OGSA-DQP queries; Oracle database; SQL Server; Sloan digital sky survey database; grid middleware; heterogeneous distributed scientific database; open grid services architecture-distributed query processing; Computer science; Data mining; Distributed databases; Image databases; Middleware; Photometry; Query processing; Relational databases; Spectroscopy; Uniform resource locators; Complex Database Schemas; Grid middleware; OGSA-DAI; OGSA-DQP; Scientific Database; Sloan Digital Sky Survey (SDSS); distributed databases; scientific datasets;
Conference_Titel :
Parallel and Distributed Systems (ICPADS), 2009 15th International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-5788-5
DOI :
10.1109/ICPADS.2009.142