DocumentCode :
1957739
Title :
A Grid-Based Distributed Database Solution for Large Astronomy Datasets
Author :
Xiang, Helen X.
Author_Institution :
Comput. Sci., Univ. of Hertfordshire, Hatfield
Volume :
3
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
66
Lastpage :
69
Abstract :
The volume of digital astronomical data is set to expand dramatically over the next ten years, as new satellites, telescopes and instruments come online. For example, both the VISTA and DES programmes will yield databases 20-30 terabytes in size in the coming decade. Storing and accessing such large datasets will be challenging, especially as scientific analysis will require coordinated use of several of these separate multi-terabyte databases, since they will contain complementary data, typically from observations made in different regions of the spectrum. We used these data to construct a grid-based SDSS distributed model using open grid services architecture - data access and integration (OGSA-DAI) and open grid services architecture - distributed query processing (OGSA-DQP). Finally we designed and ran a set of distributed queries against the grid-based distributed SDSS model.
Keywords :
astronomy computing; distributed databases; grid computing; software architecture; very large databases; complementary data; digital astronomical data; distributed query processing; grid-based distributed database; large astronomy datasets; multi-terabyte databases; open grid services architecture; Astronomy; Computer science; Database systems; Distributed databases; Image databases; Instruments; Query processing; Relational databases; Space technology; Telescopes; Distributed Query Processing; Grid; SDSS; distributed database; integration; large datasets; multi-terabyte databases; scientific database;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.285
Filename :
4722291
Link To Document :
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