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@ARTICLE{Drabent:631469,
author = {Drabent, Alexander and Freyermuth, Oliver and Giffels,
Manuel and Hoeft, Matthias and Künsemöller, Jörn and
Roland, Benoit and Schwarz, Dominik and Wissing, Christoph},
title = {{F}ederated {H}eterogeneous {C}ompute and {S}torage
{I}nfrastructure for the {PUNCH}4{NFDI} {C}onsortium},
journal = {The European physical journal / Web of Conferences},
volume = {295},
issn = {2100-014X},
address = {Les Ulis},
publisher = {EDP Sciences},
reportid = {PUBDB-2025-01981},
pages = {07020},
year = {2024},
abstract = {PUNCH4NFDI, funded by the Germany Research Foundation
initially for five years, is a diverse consortium of
particle, astro-, astroparticle, hadron and nuclear physics
embedded in the National Research Data Infrastructure
initiative. In order to provide seamless and federated
access to the huge variety of compute and storage systems
provided by the participating communities covering their
very diverse needs, the Compute4PUNCH and Storage4PUNCH
concepts have been developed. Both concepts comprise
state-of-the-art technologies such as a token-based AAI for
standardized access to compute and storage resources. The
community supplied heterogeneous HPC, HTC and Cloud compute
resources are dynamically and transparently integrated into
one federated HTCondorbased overlay batch system using the
COBalD/TARDIS resource meta-scheduler. Traditional login
nodes and a JupyterHub provide entry points into the entire
landscape of available compute resources, while container
technologies and the CERN Virtual Machine File System
(CVMFS) ensure a scalable provisioning of community-specific
software environments. In Storage4PUNCH, community supplied
storage systems mainly based on dCache or XRootD technology
are being federated in a common infrastructure employing
methods that are well established in the wider HEP
community. Furthermore existing technologies for caching as
well as metadata handling are being evaluated with the aim
for a deeper integration. The combined Compute4PUNCH and
Storage4PUNCH environment will allow a large variety of
researchers to carry out resource-demanding analysis tasks.
In this contribution we will present the Compute4PUNCH and
Storage4PUNCH concepts, the current status of the
developments as well as first experiences with scientific
applications being executed on the available prototypes.},
month = {May},
date = {2023-05-08},
organization = {26th International Conference on
Computing in High Energy $\&$ Nuclear
Physics, Norfolk (United States), 8 May
2023 - 12 May 2023},
cin = {CMS},
ddc = {530},
cid = {I:(DE-H253)CMS-20120731},
pnm = {611 - Fundamental Particles and Forces (POF4-611) / DFG
project G:(GEPRIS)460248186 - PUNCH4NFDI - Teilchen,
Universum, Kerne und Hadronen für die NFDI (460248186)},
pid = {G:(DE-HGF)POF4-611 / G:(GEPRIS)460248186},
experiment = {EXP:(DE-MLZ)NOSPEC-20140101},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)16},
doi = {10.1051/epjconf/202429507020},
url = {https://bib-pubdb1.desy.de/record/631469},
}