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Distributed storage and cloud computing: a test case

PIANO, STEFANO
•
DELLA RICCA, GIUSEPPE
2014
  • journal article

Periodico
JOURNAL OF PHYSICS. CONFERENCE SERIES
Abstract
Since 2003 the computing farm hosted by the INFN Tier3 facility in Trieste supports the activities of many scientific communities. Hundreds of jobs from 45 different VOs, including those of the LHC experiments, are processed simultaneously. Given that normally the requirements of the different computational communities are not synchronized, the probability that at any given time the resources owned by one of the participants are not fully utilized is quite high. A balanced compensation should in principle allocate the free resources to other users, but there are limits to this mechanism. In fact, the Trieste site may not hold the amount of data needed to attract enough analysis jobs, and even in that case there could be a lack of bandwidth for their access. The Trieste ALICE and CMS computing groups, in collaboration with other Italian groups, aim to overcome the limitations of existing solutions using two approaches: sharing the data among all the participants taking full advantage of GARR-X wide area networks (10 GB/s) and integrating the resources dedicated to batch analysis with the ones reserved for dynamic interactive analysis, through modern solutions as cloud computing.
DOI
10.1088/1742-6596/513/3/032076
WOS
WOS:000342287200157
Archivio
http://hdl.handle.net/11368/2722498
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84903482017
http://stacks.iop.org/1742-6596/513/i=3/a=032076
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by/3.0/it/
FVG url
https://arts.units.it/bitstream/11368/2722498/2/jpconf14_513_032076.pdf
Soggetti
  • PARTICLE PHYSICS

  • LARGE HADRON COLLIDER...

  • CMS

  • ALICE

Web of Science© citazioni
0
Data di acquisizione
Mar 21, 2024
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