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dc.contributor.authorRoloff, Eduardo
dc.contributor.authorCarreño, Emmanuell D.
dc.contributor.authorValverde-Sanchez, Jimmy K.M.
dc.contributor.authorDiener, Matthias
dc.contributor.authorSerpa, Matheus da Silva
dc.contributor.authorHouzeaux, Guillaume
dc.contributor.authorSchnorr, Lucas M.
dc.contributor.authorMaillard, Nicolas
dc.contributor.authorGaspary, Luciano P.
dc.contributor.authorNavaux, Philippe
dc.contributor.otherBarcelona Supercomputing Center
dc.identifier.citationRoloff, E. [et al.]. Performance Evaluation of Multiple Cloud Data Centers Allocations for HPC. A: 2 016 LatinAmerican High Performance Computing Conference (CARLA), México, Aug 29-Sep 02, 2016. "CARLA 2016: High Performance Computing". Springer International Publishing, 2017, p. 18-32.
dc.description.abstractThis paper evaluates the behavior of the Microsoft Azure G5 cloud instance type over multiple Data Centers. The purpose is to identify if there are major differences between them and to help the users choose the best option for their needs. Our results show that there are differences in the network level for the same instance type in different locations and inside the same location at different times. The network performance causes interference in the applications level, as we could verify in our results.
dc.description.sponsorshipThis research received funding from the EU H2020 Programme and from MCTI/RNP-Brazil under the HPC4E project, grant agreement no. 689772. Experiments presented in this paper were carried out using the Grid'5000 testbed, supported by a scientific interest group hosted by Inria and including CNRS, RENATER and several Universities as well as other organizations (see Additional funding was provided by CAPES and Microsoft.
dc.format.extent15 p.
dc.publisherSpringer International Publishing
dc.subjectÀrees temàtiques de la UPC::Enginyeria electrònica
dc.subject.lcshCloud computing
dc.subject.lcshHigh performance computing
dc.subject.otherCloud Computing
dc.titlePerformance Evaluation of Multiple Cloud Data Centers Allocations for HPC
dc.typeConference lecture
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/689772/EU/HPC for Energy/HPC4E
upcommons.citation.contributor2 016 LatinAmerican High Performance Computing Conference (CARLA), México, Aug 29-Sep 02, 2016
upcommons.citation.publicationNameCARLA 2016: High Performance Computing

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