Evaluation of FaaS as an alternative to build HPC environments

Autores
Murazzo, María Antonia; Lebetti, Joaquín; Rodríguez, Nelson R.; Martin, Adriana
Año de publicación
2023
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Running HPC applications in the cloud has proven to be a viable option to conventional parallel or distributed architectures, which require a high degree of management as well as poor resource scaling. The traditional approach for a user is to usually use the Cloud provider to provision resources to virtual machines (VMs), using them in a similar way to an on-premises infrastructure, with the consequent problem of resource management coupled with the degradation of application performance due to contextualization of virtualized environments. Serverless computing allows a user to run code written in the programming language of their choice, without first having to provision a virtual machine. On the other hand, elasticity, availability, scalability, and fault tolerance are provided transparently by the cloud provider. This way it is possible to reduce the complexity of infrastructure management for the developer, allowing him to focus on the logic of the application. Also, economic advantages arise, when just paying for usage time. The work focuses on the challenge of evaluating the cost, not only monetary but also of performance, of migrating HPC applications to serverless environments. This evaluation will allow the decision to be made REGARDING which infrastructure will be used, in order to obtain the best performance benefit.
Red de Universidades con Carreras en Informática
Materia
Ciencias Informáticas
IoT
Cloud Computing
HPC Serverles Computing
FaaS
GCP
Cloud Function
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/164999

id SEDICI_31c1c9e8553c5f3273b502401c682874
oai_identifier_str oai:sedici.unlp.edu.ar:10915/164999
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Evaluation of FaaS as an alternative to build HPC environmentsMurazzo, María AntoniaLebetti, JoaquínRodríguez, Nelson R.Martin, AdrianaCiencias InformáticasIoTCloud ComputingHPC Serverles ComputingFaaSGCPCloud FunctionRunning HPC applications in the cloud has proven to be a viable option to conventional parallel or distributed architectures, which require a high degree of management as well as poor resource scaling. The traditional approach for a user is to usually use the Cloud provider to provision resources to virtual machines (VMs), using them in a similar way to an on-premises infrastructure, with the consequent problem of resource management coupled with the degradation of application performance due to contextualization of virtualized environments. Serverless computing allows a user to run code written in the programming language of their choice, without first having to provision a virtual machine. On the other hand, elasticity, availability, scalability, and fault tolerance are provided transparently by the cloud provider. This way it is possible to reduce the complexity of infrastructure management for the developer, allowing him to focus on the logic of the application. Also, economic advantages arise, when just paying for usage time. The work focuses on the challenge of evaluating the cost, not only monetary but also of performance, of migrating HPC applications to serverless environments. This evaluation will allow the decision to be made REGARDING which infrastructure will be used, in order to obtain the best performance benefit.Red de Universidades con Carreras en Informática2023-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf501-512http://sedici.unlp.edu.ar/handle/10915/164999spainfo:eu-repo/semantics/altIdentifier/isbn/978-987-9285-51-0info:eu-repo/semantics/reference/url/https://sedici.unlp.edu.ar/handle/10915/163107info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:15:40Zoai:sedici.unlp.edu.ar:10915/164999Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:15:40.358SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Evaluation of FaaS as an alternative to build HPC environments
title Evaluation of FaaS as an alternative to build HPC environments
spellingShingle Evaluation of FaaS as an alternative to build HPC environments
Murazzo, María Antonia
Ciencias Informáticas
IoT
Cloud Computing
HPC Serverles Computing
FaaS
GCP
Cloud Function
title_short Evaluation of FaaS as an alternative to build HPC environments
title_full Evaluation of FaaS as an alternative to build HPC environments
title_fullStr Evaluation of FaaS as an alternative to build HPC environments
title_full_unstemmed Evaluation of FaaS as an alternative to build HPC environments
title_sort Evaluation of FaaS as an alternative to build HPC environments
dc.creator.none.fl_str_mv Murazzo, María Antonia
Lebetti, Joaquín
Rodríguez, Nelson R.
Martin, Adriana
author Murazzo, María Antonia
author_facet Murazzo, María Antonia
Lebetti, Joaquín
Rodríguez, Nelson R.
Martin, Adriana
author_role author
author2 Lebetti, Joaquín
Rodríguez, Nelson R.
Martin, Adriana
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
IoT
Cloud Computing
HPC Serverles Computing
FaaS
GCP
Cloud Function
topic Ciencias Informáticas
IoT
Cloud Computing
HPC Serverles Computing
FaaS
GCP
Cloud Function
dc.description.none.fl_txt_mv Running HPC applications in the cloud has proven to be a viable option to conventional parallel or distributed architectures, which require a high degree of management as well as poor resource scaling. The traditional approach for a user is to usually use the Cloud provider to provision resources to virtual machines (VMs), using them in a similar way to an on-premises infrastructure, with the consequent problem of resource management coupled with the degradation of application performance due to contextualization of virtualized environments. Serverless computing allows a user to run code written in the programming language of their choice, without first having to provision a virtual machine. On the other hand, elasticity, availability, scalability, and fault tolerance are provided transparently by the cloud provider. This way it is possible to reduce the complexity of infrastructure management for the developer, allowing him to focus on the logic of the application. Also, economic advantages arise, when just paying for usage time. The work focuses on the challenge of evaluating the cost, not only monetary but also of performance, of migrating HPC applications to serverless environments. This evaluation will allow the decision to be made REGARDING which infrastructure will be used, in order to obtain the best performance benefit.
Red de Universidades con Carreras en Informática
description Running HPC applications in the cloud has proven to be a viable option to conventional parallel or distributed architectures, which require a high degree of management as well as poor resource scaling. The traditional approach for a user is to usually use the Cloud provider to provision resources to virtual machines (VMs), using them in a similar way to an on-premises infrastructure, with the consequent problem of resource management coupled with the degradation of application performance due to contextualization of virtualized environments. Serverless computing allows a user to run code written in the programming language of their choice, without first having to provision a virtual machine. On the other hand, elasticity, availability, scalability, and fault tolerance are provided transparently by the cloud provider. This way it is possible to reduce the complexity of infrastructure management for the developer, allowing him to focus on the logic of the application. Also, economic advantages arise, when just paying for usage time. The work focuses on the challenge of evaluating the cost, not only monetary but also of performance, of migrating HPC applications to serverless environments. This evaluation will allow the decision to be made REGARDING which infrastructure will be used, in order to obtain the best performance benefit.
publishDate 2023
dc.date.none.fl_str_mv 2023-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/164999
url http://sedici.unlp.edu.ar/handle/10915/164999
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-987-9285-51-0
info:eu-repo/semantics/reference/url/https://sedici.unlp.edu.ar/handle/10915/163107
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
501-512
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1842260660946206720
score 13.13397