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dc.contributor.author
Tinetti, Fernando Gustavo  
dc.contributor.author
Rios, Leopoldo Jose  
dc.date.available
2023-08-04T11:34:01Z  
dc.date.issued
2017  
dc.identifier.citation
HPC Cluster Management with Open Source Software; 2017 International Conference on Grid, Cloud, and Cluster Computing; Las Vegas; Estados Unidos; 2017; 49-54  
dc.identifier.uri
http://hdl.handle.net/11336/206907  
dc.description.abstract
Scientific institutions and laboratories have incorporated and maintain a significant amount of computing resources aver the years. Research centers may have unused hardware facilities, with significant processing throughput that could be made available to other institutions. In this paper, we propose a software infrastructure built on existing and new open source software for sharing its computing infraestructure, in a programmed, monitored, and secure way. The Role Base Access Control (RBAC) model is considered a mature and flexible tecnology, and is a very popular paradigm today. It offers a more secure alternative to the all-or-nothing superuser model. With RBAC, it is posible to apply a specific security policy, and it means that a user has the necessary amount of privileges to perform a task. Taking advantage of the known features of RBAC, it is proposed to add specific HPC monitoring funcionality. The HPC monitoring facilities are intended to aid users of scientific programs in their optimization and parallelization tasks of processing intensive jobs.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
American Council on Science and Education  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
HPC  
dc.subject
RBAC  
dc.subject
OPEN SOURCE SOFTWARE  
dc.subject
GANGLIA  
dc.subject.classification
Otras Ciencias de la Computación e Información  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
HPC Cluster Management with Open Source Software  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2022-11-01T22:32:11Z  
dc.journal.pagination
49-54  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Las Vegas  
dc.description.fil
Fil: Tinetti, Fernando Gustavo. Universidad Nacional de La Plata. Facultad de Informática; Argentina  
dc.description.fil
Fil: Rios, Leopoldo Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Modelado e Innovación Tecnológica. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Modelado e Innovación Tecnológica; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://american-cse.org/csce2023/conferences-GCC  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.coverage
Internacional  
dc.type.subtype
Conferencia  
dc.description.nombreEvento
2017 International Conference on Grid, Cloud, and Cluster Computing  
dc.date.evento
2017-07-17  
dc.description.ciudadEvento
Las Vegas  
dc.description.paisEvento
Estados Unidos  
dc.type.publicacion
Book  
dc.description.institucionOrganizadora
American Council on Science and Education  
dc.source.libro
Proceedings of the 2017 International Conference on Grid, Cloud, and Cluster Computing  
dc.date.eventoHasta
2017-07-20  
dc.type
Conferencia