dCache: The Storage System of Choice for Data-Intensive Applications

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 scientific use 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.

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Publication Details

Journal
Computing and Software for Big Science
Published
2025-11-25
DOI
https://doi.org/10.1007/s41781-025-00152-5
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

dCache: The Storage System of Choice for Data-Intensive Applications

Dmitry Litvintsev, Lea Morschel, Marina Sahakyan, Paul Millar et al.
Computing and Software for Big Science
Advanced Data Storage Technologies
article

dCache: The Storage System of Choice for Data-Intensive Applications

Dmitry Litvintsev, Lea Morschel, Marina Sahakyan, Paul Millar, Albert Rossi, Christopher Green, Tigran Mkrtchyan, Darren Starr, Karen Hoyos
article en

Abstract

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 scientific use 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.

Computing and Software for Big ScienceVol. 9(1)
Fermi National Accelerator Laboratory (US), University of Oslo (NO), Deutsches Elektronen-Synchrotron DESY (DE), Nordic e-Infrastructure Collaboration (NO)
U.S. Department of Energy, China Scholarship Council, Office of Science, High Energy Physics
Openalex Percentile: Top 59%
Advanced Data Storage Technologies
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