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Nordugrid ARC Datastaging and Cache: Efficiency gains on HPC and cloud resources

Pedersen, Maiken ; Konya, Balazs LU ; Cameron, David ; Ellert, Mattias ; Konstantinov, Aleksandr ; Smirnova, Oxana LU orcid and Wäänänen, Anders (2020) 245.
Abstract
The Worldwide LHC Computing Grid (WLCG) is today comprised of a range of different types of resources such as cloud centers, large and small HPC centers, volunteer computing as well as the traditional grid resources. The Nordic Tier 1 (NT1) is a WLCG computing infrastructure distributed over the Nordic countries. The NT1 deploys the Nordugrid ARC-CE, which is non-intrusive and lightweight, originally developed to cater for HPC centers where no middleware could be installed on the worker nodes. The NT1 runs ARC in the native Nordugrid mode which contrary to the Pilot mode leaves jobs data transfers up to ARC. ARCs data transfer capabilities together with the ARC Cache are the most important features of ARC.In this article we will describe... (More)
The Worldwide LHC Computing Grid (WLCG) is today comprised of a range of different types of resources such as cloud centers, large and small HPC centers, volunteer computing as well as the traditional grid resources. The Nordic Tier 1 (NT1) is a WLCG computing infrastructure distributed over the Nordic countries. The NT1 deploys the Nordugrid ARC-CE, which is non-intrusive and lightweight, originally developed to cater for HPC centers where no middleware could be installed on the worker nodes. The NT1 runs ARC in the native Nordugrid mode which contrary to the Pilot mode leaves jobs data transfers up to ARC. ARCs data transfer capabilities together with the ARC Cache are the most important features of ARC.In this article we will describe the datastaging and cache functionality of the ARC-CE set up as an edge service to an HPC or cloud resource, and show the gain in efficiency this model provides compared to a traditional pilot model, especially for sites with remote storage. (Less)
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author
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
EPJ Web of Conferences : 24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019) - 24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
volume
245
article number
03011
pages
9 pages
publisher
EDP Sciences
DOI
10.1051/epjconf/202024503011
language
English
LU publication?
yes
id
21835aa8-ff53-4c67-8dd1-2ebbd9632470
date added to LUP
2022-03-16 13:51:01
date last changed
2022-03-24 14:50:15
@inproceedings{21835aa8-ff53-4c67-8dd1-2ebbd9632470,
  abstract     = {{The Worldwide LHC Computing Grid (WLCG) is today comprised of a range of different types of resources such as cloud centers, large and small HPC centers, volunteer computing as well as the traditional grid resources. The Nordic Tier 1 (NT1) is a WLCG computing infrastructure distributed over the Nordic countries. The NT1 deploys the Nordugrid ARC-CE, which is non-intrusive and lightweight, originally developed to cater for HPC centers where no middleware could be installed on the worker nodes. The NT1 runs ARC in the native Nordugrid mode which contrary to the Pilot mode leaves jobs data transfers up to ARC. ARCs data transfer capabilities together with the ARC Cache are the most important features of ARC.In this article we will describe the datastaging and cache functionality of the ARC-CE set up as an edge service to an HPC or cloud resource, and show the gain in efficiency this model provides compared to a traditional pilot model, especially for sites with remote storage.}},
  author       = {{Pedersen, Maiken and Konya, Balazs and Cameron, David and Ellert, Mattias and Konstantinov, Aleksandr and Smirnova, Oxana and Wäänänen, Anders}},
  booktitle    = {{EPJ Web of Conferences : 24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)}},
  language     = {{eng}},
  publisher    = {{EDP Sciences}},
  title        = {{Nordugrid ARC Datastaging and Cache: Efficiency gains on HPC and cloud resources}},
  url          = {{http://dx.doi.org/10.1051/epjconf/202024503011}},
  doi          = {{10.1051/epjconf/202024503011}},
  volume       = {{245}},
  year         = {{2020}},
}