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dc.contributor | Barcelona Supercomputing Center |
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dc.contributor.author | Roloff, Eduardo |
dc.contributor.author | Carreño, Emmanuell D. |
dc.contributor.author | Valverde-Sanchez, Jimmy K.M. |
dc.contributor.author | Diener, Matthias |
dc.contributor.author | Serpa, Matheus da Silva |
dc.contributor.author | Houzeaux, Guillaume |
dc.contributor.author | Schnorr, Lucas M. |
dc.contributor.author | Maillard, Nicolas |
dc.contributor.author | Gaspary, Luciano P. |
dc.contributor.author | Navaux, Philippe |
dc.date | 2017-04-29 |
dc.identifier.citation | Roloff, 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.identifier.citation | 978-3-319-57971-9 |
dc.identifier.citation | 10.1007/978-3-319-57972-6_2 |
dc.identifier.uri | http://hdl.handle.net/2117/104583 |
dc.description.abstract | This 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.abstract | This 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 https://www.grid5000.fr). Additional funding was provided by CAPES and Microsoft. |
dc.description.abstract | Peer Reviewed |
dc.language.iso | eng |
dc.publisher | Springer International Publishing |
dc.relation | http://link.springer.com/chapter/10.1007/978-3-319-57972-6_2 |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/689772/EU/HPC for Energy/HPC4E |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Àrees temàtiques de la UPC::Enginyeria electrònica |
dc.subject | Cloud computing |
dc.subject | High performance computing |
dc.subject | Cloud Computing |
dc.subject | HPC |
dc.subject | Azure |
dc.subject | MPI |
dc.subject | NAS |
dc.subject | Supercomputadors |
dc.title | Performance Evaluation of Multiple Cloud Data Centers Allocations for HPC |
dc.type | info:eu-repo/semantics/submittedVersion |
dc.type | info:eu-repo/semantics/conferenceObject |