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@ARTICLE{Mkrtchyan:625904,
author = {Mkrtchyan, Tigran and Morschel, Lea and Perez Hoyos, Karen
and Sahakyan, Marina and Millar, Alexander Paul and Albert,
Rossi and Christoper, Green and Dmitry, Litvintsev and
Darren, Starr},
title = {d{C}ache - the storage system of choice for data-intensive
applications},
journal = {Computing and software for big science},
volume = {9},
number = {1},
issn = {2510-2036},
address = {Cham, Switzerland},
publisher = {Springer International Publishing},
reportid = {PUBDB-2025-01229},
pages = {20},
year = {2025},
abstract = {The ever-increasing volumes of data produced by modern
scientific facilities like EuXFEL and LHC put significant
stress on data management infrastructure operated by
laboratories and research centers. The challenges to be
addressed span the entire data life cycle, from ingest and
efficient data analysis to long-term preservation, typically
involving large tape libraries. dCache, a storage system
developed in collaboration between the Deutsches
Elektronen-Synchrotron (DESY), Fermi National Accelerator
Laboratory, and Nordic e-Infrastructure Collaboration
(NeIC), is designed to manage a large number of disk servers
and to facilitate transparent data migration to and from
archival storage. Its multifaceted approach offers a unified
method to support a variety of scientificuse cases with the
same storage infrastructure, including high-throughput data
ingest, data sharing over wide area networks, efficient
access from HPC clusters, and long-term data preservation on
tertiary storage. Initially developed for High Energy
Physics (HEP) experiments, dCache is now used by various
scientific communities, including astrophysics, biomedical
research, and life sciences, each having specific
requirements. This paper presents architecture, deployment
strategies, performance and scalability enhancements, and
recent advancements in dCache addressing the needs of
scientific communities. Finally, we touch on the development
and release process, ensuring the software’s high
quality.},
cin = {IT},
ddc = {004},
cid = {I:(DE-H253)IT-20120731},
pnm = {623 - Data Management and Analysis (POF4-623) / interTwin -
An interdisciplinary Digital Twin Engine for science
(101058386)},
pid = {G:(DE-HGF)POF4-623 / G:(EU-Grant)101058386},
experiment = {EXP:(DE-MLZ)NOSPEC-20140101},
typ = {PUB:(DE-HGF)16},
doi = {10.1007/s41781-025-00152-5},
url = {https://bib-pubdb1.desy.de/record/625904},
}