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Exploiting Virtualization & Cloud Computing in ATLAS
The ATLAS Computing Model was designed around the concept of grid computing; since the start of data-taking, this model has proven very successful in the federated operation of more than one hundred Worldwide LHC Computing Grid (WLCG) sites for offline data distribution, storage, processing and anal...
Autores principales: | , , , , , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2012
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1448192 |
_version_ | 1780924846756069376 |
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author | Barreiro Megino, FH Benjamin, D De, K Gable, I Hendrix, V Panitkin, S Paterson, M De Silva, A van der Ster, D Taylor, R Vitillo, RA Walker, R |
author_facet | Barreiro Megino, FH Benjamin, D De, K Gable, I Hendrix, V Panitkin, S Paterson, M De Silva, A van der Ster, D Taylor, R Vitillo, RA Walker, R |
author_sort | Barreiro Megino, FH |
collection | CERN |
description | The ATLAS Computing Model was designed around the concept of grid computing; since the start of data-taking, this model has proven very successful in the federated operation of more than one hundred Worldwide LHC Computing Grid (WLCG) sites for offline data distribution, storage, processing and analysis. However, new paradigms in computing, namely virtualization and cloud computing, present improved strategies for managing and provisioning IT resources that could allow ATLAS to more flexibly adapt and scale its storage and processing workloads on varied underlying resources. In particular, ATLAS is developing a "grid-of-clouds" infrastructure in order to utilize WLCG sites that make resources available via a cloud API. This work will present the current status of the Virtualization and Cloud Computing R&D project in ATLAS Distributed Computing. First, strategies for deploying PanDA queues on cloud sites will be discussed, including the introduction of a "cloud factory" for managing cloud VM instances. Next, performance results when running on virtualized/cloud resources at CERN LxCloud, StratusLab, and elsewhere will be presented. Finally, we will present the ATLAS strategies for exploiting cloud-based storage, including remote XROOTD access to input data, management of EC2-based fi les, and the deployment of cloud-resident LCG storage elements. |
id | cern-1448192 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2012 |
record_format | invenio |
spelling | cern-14481922019-09-30T06:29:59Zhttp://cds.cern.ch/record/1448192engBarreiro Megino, FHBenjamin, DDe, KGable, IHendrix, VPanitkin, SPaterson, MDe Silva, Avan der Ster, DTaylor, RVitillo, RAWalker, RExploiting Virtualization & Cloud Computing in ATLASDetectors and Experimental TechniquesThe ATLAS Computing Model was designed around the concept of grid computing; since the start of data-taking, this model has proven very successful in the federated operation of more than one hundred Worldwide LHC Computing Grid (WLCG) sites for offline data distribution, storage, processing and analysis. However, new paradigms in computing, namely virtualization and cloud computing, present improved strategies for managing and provisioning IT resources that could allow ATLAS to more flexibly adapt and scale its storage and processing workloads on varied underlying resources. In particular, ATLAS is developing a "grid-of-clouds" infrastructure in order to utilize WLCG sites that make resources available via a cloud API. This work will present the current status of the Virtualization and Cloud Computing R&D project in ATLAS Distributed Computing. First, strategies for deploying PanDA queues on cloud sites will be discussed, including the introduction of a "cloud factory" for managing cloud VM instances. Next, performance results when running on virtualized/cloud resources at CERN LxCloud, StratusLab, and elsewhere will be presented. Finally, we will present the ATLAS strategies for exploiting cloud-based storage, including remote XROOTD access to input data, management of EC2-based fi les, and the deployment of cloud-resident LCG storage elements.ATL-SOFT-SLIDE-2012-205oai:cds.cern.ch:14481922012-05-13 |
spellingShingle | Detectors and Experimental Techniques Barreiro Megino, FH Benjamin, D De, K Gable, I Hendrix, V Panitkin, S Paterson, M De Silva, A van der Ster, D Taylor, R Vitillo, RA Walker, R Exploiting Virtualization & Cloud Computing in ATLAS |
title | Exploiting Virtualization & Cloud Computing in ATLAS |
title_full | Exploiting Virtualization & Cloud Computing in ATLAS |
title_fullStr | Exploiting Virtualization & Cloud Computing in ATLAS |
title_full_unstemmed | Exploiting Virtualization & Cloud Computing in ATLAS |
title_short | Exploiting Virtualization & Cloud Computing in ATLAS |
title_sort | exploiting virtualization & cloud computing in atlas |
topic | Detectors and Experimental Techniques |
url | http://cds.cern.ch/record/1448192 |
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