Phenomenology Tools on Cloud Infrastructures using OpenStack

We present a new environment for computations in particle physics phenomenology employing recent developments in cloud computing. On this environment users can create and manage "virtual" machines on which the phenomenology codes/tools can be deployed easily in an automated way. We analyze the performance of this environment based on "virtual" machines versus the utilization of "real" physical hardware. In this way we provide a qualitative result for the influence of the host operating system on the performance of a representative set of applications for phenomenology calculations.Comment: 25 pages, 12 figures; information on memory usage included, as well as minor modifications. Version to appear in EPJ

Phenomenology Tools on Cloud Infrastructures using OpenStack

We present a new environment for computations in particle physics phenomenology employing recent developments in cloud computing. On this environment users can create and manage “virtual” machines on which the phenomenology codes/tools can be deployed easily in an automated way. We analyze the performance of this environment based on “virtual” machines versus the utilization of physical hardware. In this way we provide a qualitative result for the influence of the host operating system on the performance of a representative set of applications for phenomenology calculations.Peer Reviewe

Phenomenology tools on cloud infrastructures using OpenStack

This article is distributed under the terms of the Creative Commons Attribution License.We present a new environment for computations in particle physics phenomenology employing recent developments in cloud computing. On this environment users can create and manage “virtual” machines on which the phenomenology codes/tools can be deployed easily in an automated way. We analyze the performance of this environment based on “virtual” machines versus the utilization of physical hardware. In this way we provide a qualitative result for the influence of the host operating system on the performance of a representative set of applications for phenomenology calculations.I.C. and E.F. thank the European Commission funding via EGI-InSPIRE Grant Contract number RI-261323, EMI Grant Contract number RI-261611 and FPA-2008–01732. The work of S.H. was partially supported by CICYT (grant FPA 2010–22163-C02-01). S.H. and F.v.d.P. were supported in part by the Spanish MICINN’s Consolider-Ingenio 2010 Programme under grant Multi-Dark CSD2009-00064 and the project “Computacion Avanzada en materiales y fenomenos de transporte” Grant number MEC-FIS-2009-12648-C03-02. G.B. would like to thank to the Portuguese Foundation for Science and Technology under the context of the Ciencia 2008 program jointly funded by the European Social Fund and by MCTES national funds—through POPH—NSRF-Type 4.2.Peer Reviewe