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Managing Very-Large Distributed Datasets.

Abstract:

In this paper, we introduce a system for handling very large datasets, which need to be stored across multiple computing sites. Data distribution introduces complex management issues, particularly as computing sites may make use of different storage systems with different internal organizations. The motivation for our work is the ATLAS Experiment for the Large Hadron Collider (LHC) at CERN, where the authors are involved in developing the data management middleware. This middleware, called DQ...

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Role:
Editor
Role:
Editor
Publisher:
Springer Publisher's website
Journal:
OTM Conferences (1)
Volume:
5331
Issue:
PART 1
Pages:
775-792
Publication date:
2008-01-01
DOI:
EISSN:
1611-3349
ISSN:
0302-9743
Source identifiers:
351796
Language:
English
Keywords:
Pubs id:
pubs:351796
UUID:
uuid:6cefbfb4-fbba-4039-9353-98c42070b432
Local pid:
pubs:351796
Deposit date:
2013-11-16

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