Nordugrid ARC Datastaging and Cache: Efficiency gains on HPC and cloud resources
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/21835aa8-ff53-4c67-8dd1-2ebbd9632470
- author
- Pedersen, Maiken ; Konya, Balazs LU ; Cameron, David ; Ellert, Mattias ; Konstantinov, Aleksandr ; Smirnova, Oxana LU and Wäänänen, Anders
- organization
- publishing date
- 2020
- 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
- project
- Advanced Resource Connector software
- language
- English
- LU publication?
- yes
- id
- 21835aa8-ff53-4c67-8dd1-2ebbd9632470
- date added to LUP
- 2022-03-16 13:51:01
- date last changed
- 2024-03-15 02:51:22
@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}}, }