An Implementation of Cloud-based Grid CE and SE For ATLAS and Belle II

The economies of scale realised by institutional and commercial cloud providers make such resources increasingly attractive for grid computing. We describe an implementation of this approach which has been deployed for Australia’s ATLAS and Belle II grid sites. The sites are built entirely with virtual machines (VM) orchestrated by an Open- Stack instance. The storage element (SE) utilises an XRootD-S3 gateway with back-end storage provided through an S3-compatible object store from a commercial provider. The provisioning arrangements required the deployment of some site-specific helper modules to ensure all SE interfacing requirements could be met. OpenStack hosts the XRootD redirector and proxy servers in separate VMs. The compute element (CE) comprises virtual machines (VM) within the Open-Stack instance. Jobs are submitted and managed by HTCondor. A CloudScheduler instance is used to coordinate the number of active OpenStack VMs and ensure that VMs run only when there are jobs to run. Automated configuration of the individual VMs associated with the grid sites is managed using Ansible. This approach was chosen due to its low overheads and the simplicity of deployment. Performance metrics of the resulting grid sites are presented to illustrate the viability of this cost-effective approach to resource provisioning for grid computing.

Authors

Institutions

Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701065
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Implementation of Cloud-based Grid CE and SE For ATLAS and Belle II

M. E. Sevior, P. Jackson, D. Dossett, M. Ebert et al.
EPJ Web of Conferences
Distributed and Parallel Computing Systems
article

An Implementation of Cloud-based Grid CE and SE For ATLAS and Belle II

M. E. Sevior, P. Jackson, D. Dossett, M. Ebert, Jonathan Woithe
article en

Abstract

The economies of scale realised by institutional and commercial cloud providers make such resources increasingly attractive for grid computing. We describe an implementation of this approach which has been deployed for Australia’s ATLAS and Belle II grid sites. The sites are built entirely with virtual machines (VM) orchestrated by an Open- Stack instance. The storage element (SE) utilises an XRootD-S3 gateway with back-end storage provided through an S3-compatible object store from a commercial provider. The provisioning arrangements required the deployment of some site-specific helper modules to ensure all SE interfacing requirements could be met. OpenStack hosts the XRootD redirector and proxy servers in separate VMs. The compute element (CE) comprises virtual machines (VM) within the Open-Stack instance. Jobs are submitted and managed by HTCondor. A CloudScheduler instance is used to coordinate the number of active OpenStack VMs and ensure that VMs run only when there are jobs to run. Automated configuration of the individual VMs associated with the grid sites is managed using Ansible. This approach was chosen due to its low overheads and the simplicity of deployment. Performance metrics of the resulting grid sites are presented to illustrate the viability of this cost-effective approach to resource provisioning for grid computing.

EPJ Web of ConferencesVol. 337
The University of Melbourne (AU), University of Victoria (CA), The University of Adelaide (AU)
Openalex Percentile: Top 68%
Distributed and Parallel Computing Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

An Implementation of Cloud-based Grid CE and SE For ATLAS and Belle II — M. E. Sevior, P. Jackson, et al. · EPJ Web of Conferences (2025) | TGRS Research Map | TGRS