TY - GEN
T1 - Data access for ligo on the OSG
AU - Weitzel, Derek
AU - Bockelman, Brian
AU - Brown, Duncan A.
AU - Couvares, Peter
AU - Würthwein, Frank
AU - Hernandez, Edgar Fajardo
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/7/9
Y1 - 2017/7/9
N2 - During 2015 and 2016, the Laser Interferometer Gravitational-Wave Observatory (LIGO) conducted a three-month observing campaign. .ese 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 largescale computation, our team deployed a distributed data access infrastructure based on the XRootD server suite and the CernVM File System (CVMFS). .is data access strategy grew from simply accessing remote storage to a POSIX-based interface underpinned by distributed, secure caches across the OSG.
AB - During 2015 and 2016, the Laser Interferometer Gravitational-Wave Observatory (LIGO) conducted a three-month observing campaign. .ese 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 largescale computation, our team deployed a distributed data access infrastructure based on the XRootD server suite and the CernVM File System (CVMFS). .is data access strategy grew from simply accessing remote storage to a POSIX-based interface underpinned by distributed, secure caches across the OSG.
KW - CVMFS
KW - Caching
KW - Distributed data access
KW - LIGO
KW - OSG
KW - XRootD
UR - http://www.scopus.com/inward/record.url?scp=85025814504&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85025814504&partnerID=8YFLogxK
U2 - 10.1145/3093338.3093363
DO - 10.1145/3093338.3093363
M3 - Conference contribution
AN - SCOPUS:85025814504
T3 - ACM International Conference Proceeding Series
BT - PEARC 2017 - Practice and Experience in Advanced Research Computing 2017
PB - Association for Computing Machinery
T2 - 2017 Practice and Experience in Advanced Research Computing, PEARC 2017
Y2 - 9 July 2017 through 13 July 2017
ER -