The IceProd framework: Distributed data processing for the IceCube neutrino observatory
IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, identify the particle nature of dark matter, and study high-energy neutrinos themselves. Simulation of the IceCube detector and processing of data require a significant amount of computatio...
Published in: | Journal of Parallel and Distributed Computing |
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San Diego, Academic Press Inc Elsevier Science
2015
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Online Access: | https://doi.org/10.1016/j.jpdc.2014.08.001 http://infoscience.epfl.ch/record/205415 |
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ftinfoscience:oai:infoscience.tind.io:205415 2023-05-15T18:22:29+02:00 The IceProd framework: Distributed data processing for the IceCube neutrino observatory Aartsen, M. G. Abbasi, R. Ackermann, M. Adams, J. Aguilar, J. A. Ahlers, M. Altmann, D. Arguelles, C. Auffenberg, J. Bai, X. Baker, M. Barwick, S. W. Baum, V. Bay, R. Beatty, J. J. Tjus, J. Becker Becker, K. -H. Benzvi, S. Berghaus, P. Berley, D. Bernardini, E. Bernhard, A. Besson, D. Z. Binder, G. Bindig, D. Bissok, M. Blaufuss, E. Blumenthal, J. Boersma, D. J. Bohm, C. Bose, D. Boeser, S. Botner, O. Brayeur, L. Bretz, H. -P. Brown, A. M. Bruijn, R. Casey, J. Casier, M. Chirkin, D. Christov, A. Christy, B. Clark, K. Classen, L. Clevermann, F. Coenders, S. Cohen, S. Cowen, D. F. Silva, A. H. Cruz Danninger, M. 2015-02-20T09:05:36Z https://doi.org/10.1016/j.jpdc.2014.08.001 http://infoscience.epfl.ch/record/205415 unknown San Diego, Academic Press Inc Elsevier Science doi:10.1016/j.jpdc.2014.08.001 ISI:000346552500017 http://infoscience.epfl.ch/record/205415 http://infoscience.epfl.ch/record/205415 Text 2015 ftinfoscience https://doi.org/10.1016/j.jpdc.2014.08.001 2023-02-13T22:25:11Z IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, identify the particle nature of dark matter, and study high-energy neutrinos themselves. Simulation of the IceCube detector and processing of data require a significant amount of computational resources. This paper presents the first detailed description of IceProd, a lightweight distributed management system designed to meet these requirements. It is driven by a central database in order to manage mass production of simulations and analysis of data produced by the IceCube detector. IceProd runs as a separate layer on top of other middleware and can take advantage of a variety of computing resources, including grids and batch systems such as CREAM, HTCondor, and PBS. This is accomplished by a set of dedicated daemons that process job submission in a coordinated fashion through the use of middleware plugins that serve to abstract the details of job submission and job management from the framework. (C) 2014 Elsevier Inc. All rights reserved. Text South pole EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne) South Pole Journal of Parallel and Distributed Computing 75 198 211 |
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EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne) |
op_collection_id |
ftinfoscience |
language |
unknown |
description |
IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, identify the particle nature of dark matter, and study high-energy neutrinos themselves. Simulation of the IceCube detector and processing of data require a significant amount of computational resources. This paper presents the first detailed description of IceProd, a lightweight distributed management system designed to meet these requirements. It is driven by a central database in order to manage mass production of simulations and analysis of data produced by the IceCube detector. IceProd runs as a separate layer on top of other middleware and can take advantage of a variety of computing resources, including grids and batch systems such as CREAM, HTCondor, and PBS. This is accomplished by a set of dedicated daemons that process job submission in a coordinated fashion through the use of middleware plugins that serve to abstract the details of job submission and job management from the framework. (C) 2014 Elsevier Inc. All rights reserved. |
format |
Text |
author |
Aartsen, M. G. Abbasi, R. Ackermann, M. Adams, J. Aguilar, J. A. Ahlers, M. Altmann, D. Arguelles, C. Auffenberg, J. Bai, X. Baker, M. Barwick, S. W. Baum, V. Bay, R. Beatty, J. J. Tjus, J. Becker Becker, K. -H. Benzvi, S. Berghaus, P. Berley, D. Bernardini, E. Bernhard, A. Besson, D. Z. Binder, G. Bindig, D. Bissok, M. Blaufuss, E. Blumenthal, J. Boersma, D. J. Bohm, C. Bose, D. Boeser, S. Botner, O. Brayeur, L. Bretz, H. -P. Brown, A. M. Bruijn, R. Casey, J. Casier, M. Chirkin, D. Christov, A. Christy, B. Clark, K. Classen, L. Clevermann, F. Coenders, S. Cohen, S. Cowen, D. F. Silva, A. H. Cruz Danninger, M. |
spellingShingle |
Aartsen, M. G. Abbasi, R. Ackermann, M. Adams, J. Aguilar, J. A. Ahlers, M. Altmann, D. Arguelles, C. Auffenberg, J. Bai, X. Baker, M. Barwick, S. W. Baum, V. Bay, R. Beatty, J. J. Tjus, J. Becker Becker, K. -H. Benzvi, S. Berghaus, P. Berley, D. Bernardini, E. Bernhard, A. Besson, D. Z. Binder, G. Bindig, D. Bissok, M. Blaufuss, E. Blumenthal, J. Boersma, D. J. Bohm, C. Bose, D. Boeser, S. Botner, O. Brayeur, L. Bretz, H. -P. Brown, A. M. Bruijn, R. Casey, J. Casier, M. Chirkin, D. Christov, A. Christy, B. Clark, K. Classen, L. Clevermann, F. Coenders, S. Cohen, S. Cowen, D. F. Silva, A. H. Cruz Danninger, M. The IceProd framework: Distributed data processing for the IceCube neutrino observatory |
author_facet |
Aartsen, M. G. Abbasi, R. Ackermann, M. Adams, J. Aguilar, J. A. Ahlers, M. Altmann, D. Arguelles, C. Auffenberg, J. Bai, X. Baker, M. Barwick, S. W. Baum, V. Bay, R. Beatty, J. J. Tjus, J. Becker Becker, K. -H. Benzvi, S. Berghaus, P. Berley, D. Bernardini, E. Bernhard, A. Besson, D. Z. Binder, G. Bindig, D. Bissok, M. Blaufuss, E. Blumenthal, J. Boersma, D. J. Bohm, C. Bose, D. Boeser, S. Botner, O. Brayeur, L. Bretz, H. -P. Brown, A. M. Bruijn, R. Casey, J. Casier, M. Chirkin, D. Christov, A. Christy, B. Clark, K. Classen, L. Clevermann, F. Coenders, S. Cohen, S. Cowen, D. F. Silva, A. H. Cruz Danninger, M. |
author_sort |
Aartsen, M. G. |
title |
The IceProd framework: Distributed data processing for the IceCube neutrino observatory |
title_short |
The IceProd framework: Distributed data processing for the IceCube neutrino observatory |
title_full |
The IceProd framework: Distributed data processing for the IceCube neutrino observatory |
title_fullStr |
The IceProd framework: Distributed data processing for the IceCube neutrino observatory |
title_full_unstemmed |
The IceProd framework: Distributed data processing for the IceCube neutrino observatory |
title_sort |
iceprod framework: distributed data processing for the icecube neutrino observatory |
publisher |
San Diego, Academic Press Inc Elsevier Science |
publishDate |
2015 |
url |
https://doi.org/10.1016/j.jpdc.2014.08.001 http://infoscience.epfl.ch/record/205415 |
geographic |
South Pole |
geographic_facet |
South Pole |
genre |
South pole |
genre_facet |
South pole |
op_source |
http://infoscience.epfl.ch/record/205415 |
op_relation |
doi:10.1016/j.jpdc.2014.08.001 ISI:000346552500017 http://infoscience.epfl.ch/record/205415 |
op_doi |
https://doi.org/10.1016/j.jpdc.2014.08.001 |
container_title |
Journal of Parallel and Distributed Computing |
container_volume |
75 |
container_start_page |
198 |
op_container_end_page |
211 |
_version_ |
1766201893014470656 |