Opportunistic Deployment of Distributed Edge Clouds for Latency-critical Applications

The growing number of latency-critical applications are posing novel challenges for network operators, cloud/hosting companies, and application providers. Edge Computing is the strongest candidate for providing low-latency responses, but it is not yet clear what edge infrastructures will be like. Th...

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Detalles Bibliográficos
Autores: Huedo Cuesta, Eduardo, Moreno Vozmediano, Rafael Aurelio, Santiago Montero, Rubén Manuel, Martín Llorente, Ignacio
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/7168
Acceso en línea:https://hdl.handle.net/20.500.14352/7168
Access Level:acceso abierto
Palabra clave:6. Ciencias aplicadas. Medicina. Tecnología.
Edge Computing
Cloud Computing
Latency
Bare-metal provider
Cloud Disaggregation
Online Gaming
Informática (Informática)
1203.17 Informática
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spelling Opportunistic Deployment of Distributed Edge Clouds for Latency-critical ApplicationsHuedo Cuesta, EduardoMoreno Vozmediano, Rafael AurelioSantiago Montero, Rubén ManuelMartín Llorente, Ignacio6. Ciencias aplicadas. Medicina. Tecnología.Edge ComputingCloud ComputingLatencyBare-metal providerCloud DisaggregationOnline GamingInformática (Informática)1203.17 InformáticaThe growing number of latency-critical applications are posing novel challenges for network operators, cloud/hosting companies, and application providers. Edge Computing is the strongest candidate for providing low-latency responses, but it is not yet clear what edge infrastructures will be like. This paper introduces a new platform for enabling an edge infrastructure according to a disaggregated distributed cloud architecture and an opportunistic model based on bare-metal providers. Results from a multi-server online gaming application deployed in a real geo-distributed edge infrastructure show the feasibility, performance and cost efficiency of the solution.SpringerUniversidad Complutense de Madrid20212021-01-3120212021-01-31journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/7168reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/71682026-06-02T12:44:21Z
dc.title.none.fl_str_mv Opportunistic Deployment of Distributed Edge Clouds for Latency-critical Applications
title Opportunistic Deployment of Distributed Edge Clouds for Latency-critical Applications
spellingShingle Opportunistic Deployment of Distributed Edge Clouds for Latency-critical Applications
Huedo Cuesta, Eduardo
6. Ciencias aplicadas. Medicina. Tecnología.
Edge Computing
Cloud Computing
Latency
Bare-metal provider
Cloud Disaggregation
Online Gaming
Informática (Informática)
1203.17 Informática
title_short Opportunistic Deployment of Distributed Edge Clouds for Latency-critical Applications
title_full Opportunistic Deployment of Distributed Edge Clouds for Latency-critical Applications
title_fullStr Opportunistic Deployment of Distributed Edge Clouds for Latency-critical Applications
title_full_unstemmed Opportunistic Deployment of Distributed Edge Clouds for Latency-critical Applications
title_sort Opportunistic Deployment of Distributed Edge Clouds for Latency-critical Applications
dc.creator.none.fl_str_mv Huedo Cuesta, Eduardo
Moreno Vozmediano, Rafael Aurelio
Santiago Montero, Rubén Manuel
Martín Llorente, Ignacio
author Huedo Cuesta, Eduardo
author_facet Huedo Cuesta, Eduardo
Moreno Vozmediano, Rafael Aurelio
Santiago Montero, Rubén Manuel
Martín Llorente, Ignacio
author_role author
author2 Moreno Vozmediano, Rafael Aurelio
Santiago Montero, Rubén Manuel
Martín Llorente, Ignacio
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 6. Ciencias aplicadas. Medicina. Tecnología.
Edge Computing
Cloud Computing
Latency
Bare-metal provider
Cloud Disaggregation
Online Gaming
Informática (Informática)
1203.17 Informática
topic 6. Ciencias aplicadas. Medicina. Tecnología.
Edge Computing
Cloud Computing
Latency
Bare-metal provider
Cloud Disaggregation
Online Gaming
Informática (Informática)
1203.17 Informática
description The growing number of latency-critical applications are posing novel challenges for network operators, cloud/hosting companies, and application providers. Edge Computing is the strongest candidate for providing low-latency responses, but it is not yet clear what edge infrastructures will be like. This paper introduces a new platform for enabling an edge infrastructure according to a disaggregated distributed cloud architecture and an opportunistic model based on bare-metal providers. Results from a multi-server online gaming application deployed in a real geo-distributed edge infrastructure show the feasibility, performance and cost efficiency of the solution.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-31
2021
2021-01-31
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/7168
url https://hdl.handle.net/20.500.14352/7168
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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