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Data Access for LIGO on the OSG

Weitzel, Derek and Bockelman, Brian and Brown, Duncan A. and Couvares, Peter and Würthwein, Frank and Hernandez, Edgar Fajardo (2017) Data Access for LIGO on the OSG. In: Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact - PEARC17. ACM , New York, NY, Art. No. 24. ISBN 978-1-4503-5272-7.

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During 2015 and 2016, the Laser Interferometer Gravitational-Wave Observatory (LIGO) conducted a three-month observing campaign. These observations delivered the first direct detection of gravitational waves from binary black hole mergers. To search for these signals, the LIGO Scientific Collaboration uses the PyCBC search pipeline. To deliver science results in a timely manner, LIGO collaborated with the Open Science Grid (OSG) to distribute the required computation across a series of dedicated, opportunistic, and allocated resources. To deliver the petabytes necessary for such a large-scale computation, our team deployed a distributed data access infrastructure based on the XRootD server suite and the CernVM File System (CVMFS). This data access strategy grew from simply accessing remote storage to a POSIX-based interface underpinned by distributed, secure caches across the OSG.

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Brown, Duncan A.0000-0002-9180-5765
Additional Information:© 2017 Copyright held by the owner/author(s). This material is based in part upon work supported by the National Science Foundation under grant numbers PHY-1148698 and ACI-1443047. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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Record Number:CaltechAUTHORS:20170718-141613981
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Official Citation:Derek Weitzel, Brian Bockelman, Duncan A. Brown, Peter Couvares, Frank Würthwein, and Edgar Fajardo Hernandez. 2017. Data Access for LIGO on the OSG. In Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact (PEARC17). ACM, New York, NY, USA, Article 24, 6 pages. DOI:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:79163
Deposited On:18 Jul 2017 22:00
Last Modified:15 Nov 2021 17:46

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