Performance evaluation of multiple cloud data centers allocations for HPC

Eduardo Roloff, Emmanuell Diaz Carreño, Jimmy K.M. Valverde-Sánchez, Matthias Diener, Matheus Da Silva Serpa, Guillaume Houzeaux, Lucas M. Schnorr, Nicolas Maillard, Luciano Paschoal Gaspary, Philippe Navaux

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationHigh Performance Computing - 3rd Latin American Conference, CARLA 2016, Revised Selected Papers
EditorsCarlos Jaime Barrios Hernandez, Isidoro Gitler, Jaime Klapp
PublisherSpringer
Pages18-32
Number of pages15
ISBN (Print)9783319579719
DOIs
StatePublished - 2017
Externally publishedYes
Event3rd Latin American Conference on High Performance Computing, CARLA 2016 - Mexico City, Mexico
Duration: Aug 29 2016Sep 2 2016

Publication series

NameCommunications in Computer and Information Science
Volume697
ISSN (Print)1865-0929

Conference

Conference3rd Latin American Conference on High Performance Computing, CARLA 2016
Country/TerritoryMexico
CityMexico City
Period8/29/169/2/16

Keywords

  • Azure
  • Cloud Computing
  • HPC
  • MPI
  • NAS

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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