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HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation
Historically, high energy physics computing has been performed on large purpose-built computing systems. These began as single-site compute facilities, but have evolved into the distributed computing grids used today. Recently, there has been an exponential increase in the capacity and capability of...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/s41781-017-0001-9 http://cds.cern.ch/record/2291124 |
_version_ | 1780956379976040448 |
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author | Holzman, Burt Bauerdick, Lothar A.T. Bockelman, Brian Dykstra, Dave Fisk, Ian Fuess, Stuart Garzoglio, Gabriele Girone, Maria Gutsche, Oliver Hufnagel, Dirk Kim, Hyunwoo Kennedy, Robert Magini, Nicolo Mason, David Spentzouris, Panagiotis Tiradani, Anthony Timm, Steve Vaandering, Eric W. |
author_facet | Holzman, Burt Bauerdick, Lothar A.T. Bockelman, Brian Dykstra, Dave Fisk, Ian Fuess, Stuart Garzoglio, Gabriele Girone, Maria Gutsche, Oliver Hufnagel, Dirk Kim, Hyunwoo Kennedy, Robert Magini, Nicolo Mason, David Spentzouris, Panagiotis Tiradani, Anthony Timm, Steve Vaandering, Eric W. |
author_sort | Holzman, Burt |
collection | CERN |
description | Historically, high energy physics computing has been performed on large purpose-built computing systems. These began as single-site compute facilities, but have evolved into the distributed computing grids used today. Recently, there has been an exponential increase in the capacity and capability of commercial clouds. Cloud resources are highly virtualized and intended to be able to be flexibly deployed for a variety of computing tasks. There is a growing nterest among the cloud providers to demonstrate the capability to perform large-scale scientific computing. In this paper, we discuss results from the CMS experiment using the Fermilab HEPCloud facility, which utilized both local Fermilab resources and virtual machines in the Amazon Web Services Elastic Compute Cloud. We discuss the planning, technical challenges, and lessons learned involved in performing physics workflows on a large-scale set of virtualized resources. In addition, we will discuss the economics and operational efficiencies when executing workflows both in the cloud and on dedicated resources. |
id | cern-2291124 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
record_format | invenio |
spelling | cern-22911242020-08-28T12:59:16Zdoi:10.1007/s41781-017-0001-9http://cds.cern.ch/record/2291124engHolzman, BurtBauerdick, Lothar A.T.Bockelman, BrianDykstra, DaveFisk, IanFuess, StuartGarzoglio, GabrieleGirone, MariaGutsche, OliverHufnagel, DirkKim, HyunwooKennedy, RobertMagini, NicoloMason, DavidSpentzouris, PanagiotisTiradani, AnthonyTimm, SteveVaandering, Eric W.HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigationphysics.comp-phOther Fields of Physicscs.DCComputing and ComputersHistorically, high energy physics computing has been performed on large purpose-built computing systems. These began as single-site compute facilities, but have evolved into the distributed computing grids used today. Recently, there has been an exponential increase in the capacity and capability of commercial clouds. Cloud resources are highly virtualized and intended to be able to be flexibly deployed for a variety of computing tasks. There is a growing nterest among the cloud providers to demonstrate the capability to perform large-scale scientific computing. In this paper, we discuss results from the CMS experiment using the Fermilab HEPCloud facility, which utilized both local Fermilab resources and virtual machines in the Amazon Web Services Elastic Compute Cloud. We discuss the planning, technical challenges, and lessons learned involved in performing physics workflows on a large-scale set of virtualized resources. In addition, we will discuss the economics and operational efficiencies when executing workflows both in the cloud and on dedicated resources.Historically, high energy physics computing has been performed on large purpose-built computing systems. These began as single-site compute facilities, but have evolved into the distributed computing grids used today. Recently, there has been an exponential increase in the capacity and capability of commercial clouds. Cloud resources are highly virtualized and intended to be able to be flexibly deployed for a variety of computing tasks. There is a growing interest among the cloud providers to demonstrate the capability to perform large-scale scientific computing. In this paper, we discuss results from the CMS experiment using the Fermilab HEPCloud facility, which utilized both local Fermilab resources and virtual machines in the Amazon Web Services Elastic Compute Cloud. We discuss the planning, technical challenges, and lessons learned involved in performing physics workflows on a large-scale set of virtualized resources. In addition, we will discuss the economics and operational efficiencies when executing workflows both in the cloud and on dedicated resources.arXiv:1710.00100FERMILAB-PUB-17-092-CDoai:cds.cern.ch:22911242017-09-29 |
spellingShingle | physics.comp-ph Other Fields of Physics cs.DC Computing and Computers Holzman, Burt Bauerdick, Lothar A.T. Bockelman, Brian Dykstra, Dave Fisk, Ian Fuess, Stuart Garzoglio, Gabriele Girone, Maria Gutsche, Oliver Hufnagel, Dirk Kim, Hyunwoo Kennedy, Robert Magini, Nicolo Mason, David Spentzouris, Panagiotis Tiradani, Anthony Timm, Steve Vaandering, Eric W. HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation |
title | HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation |
title_full | HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation |
title_fullStr | HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation |
title_full_unstemmed | HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation |
title_short | HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation |
title_sort | hepcloud, a new paradigm for hep facilities: cms amazon web services investigation |
topic | physics.comp-ph Other Fields of Physics cs.DC Computing and Computers |
url | https://dx.doi.org/10.1007/s41781-017-0001-9 http://cds.cern.ch/record/2291124 |
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