Control of a Cluster created by real and virtual machines using HPC software in the CAPDS

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work deals with the handling of a cluster created with available machines. In order to improve the resources of the machines, virtual machines have been created, which increases the number of machines used in the cluster. Also, to reduce the execution times of the processes, parallel programming has been used with the Message Passing Interface (MPI). Additionally, for the classification of the images, a complete procedure using the Satellite Image Classification Of Satellite Image (CIS) software has been developed.

Original languageEnglish
Title of host publicationProceedings of the 2019 IEEE 26th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728136462
DOIs
StatePublished - Aug 2019
Event26th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2019 - Lima, Peru
Duration: 12 Aug 201914 Aug 2019

Publication series

NameProceedings of the 2019 IEEE 26th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2019

Conference

Conference26th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2019
Country/TerritoryPeru
CityLima
Period12/08/1914/08/19

Bibliographical note

Funding Information:
We thanks to the Universidad Nacional de San Agustín de Arequipa and IAAPP – UNSA, under the project “Space Geodesy for Monitoring Volcanoes and Surroundings Hills of Arequipa to Determine deformation and risks” under Contract No.49-16-UNSA.

Funding Information:
We thanks to the Universidad Nacional de San Agustin de Arequipa and IAAPP-UNSA, under the project Space Geodesy for Monitoring Volcanoes and Surroundings Hills of Arequipa to Determine deformation and risks under Contract No.49-16-UNSA.

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Cluster
  • Hypervisor
  • Parallel Computing
  • Virtual Machine

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