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Managing very large distributed data sets on a data grid.

Abstract:

In this work we address the management of very large data sets, which need to be stored and processed across many computing sites. The motivation for our work is the ATLAS experiment for the Large Hadron Collider (LHC), where the authors have been involved in the development of the data management middleware. This middleware, called DQ2, has been used for the last several years by the ATLAS experiment for shipping petabytes of data to research centres and universities worldwide. We describe o...

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Publisher copy:
10.1002/cpe.1489
Journal:
Concurrency and Computation: Practice and Experience More from this journal
Volume:
22
Issue:
11
Pages:
1338-1364
Publication date:
2010-01-01
DOI:
EISSN:
1532-0634
ISSN:
1532-0626
Language:
English
Keywords:
Pubs id:
pubs:351780
UUID:
uuid:8f2f2d59-fc23-4810-b1df-c649e7ea66f1
Local pid:
pubs:351780
Source identifiers:
351780
Deposit date:
2013-11-16

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