LESS-ON: Load-aware edge server shutdown for energy saving in cellular networks

While advances in wireless networks enable novel services with previously unreachable latency guarantees, edge computing becomes essential for delivering computing resources close to the users and meeting the strict latency requirements. However, addressing the energy footprint of computing resource...

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Detalles Bibliográficos
Autores: Gómez Mora, Blas, Bayhan, Suzan, Coronado Calero, Estefanía, Villalón Millán, José Miguel, Garrido del Solo, Antonio José
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/44801
Acceso en línea:https://hdl.handle.net/10578/44801
Access Level:acceso abierto
Palabra clave:5G
Edge computing
Energy efficiency
Sustainable communications
Wireless networks
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spelling LESS-ON: Load-aware edge server shutdown for energy saving in cellular networksGómez Mora, BlasBayhan, SuzanCoronado Calero, EstefaníaVillalón Millán, José MiguelGarrido del Solo, Antonio José5GEdge computingEnergy efficiencySustainable communicationsWireless networksWhile advances in wireless networks enable novel services with previously unreachable latency guarantees, edge computing becomes essential for delivering computing resources close to the users and meeting the strict latency requirements. However, addressing the energy footprint of computing resources is crucial amid the pressing sustainability concerns. The energy consumption of idle resources accounts for a significant part of the total energy footprint. While server shutdown during low-demand periods is common in cloud computing, it is challenging to determine which edge servers to shut down and how to route requests due to the stringent latency requirements of the applications. Thus, this work formulates an optimal orchestration policy to minimize the energy consumption of the edge computing infrastructure and presents LESS-ON, a strategy with a polynomial time complexity that reduces the operational energy footprint of edge computing by shutting down edge servers during low-demand periods. In contrast to previous studies, LESS-ON considers the energy requirements associated with routing requests to the designated edge servers. Our numerical evaluation shows that LESS-ON reduces the total consumption by 42% with respect to the common always-on approach during low-demand periods and by 35% over 24 h, all while meeting latency requirements.ELSEVIER202520252024info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://hdl.handle.net/10578/44801reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/448012026-05-27T07:36:41Z
dc.title.none.fl_str_mv LESS-ON: Load-aware edge server shutdown for energy saving in cellular networks
title LESS-ON: Load-aware edge server shutdown for energy saving in cellular networks
spellingShingle LESS-ON: Load-aware edge server shutdown for energy saving in cellular networks
Gómez Mora, Blas
5G
Edge computing
Energy efficiency
Sustainable communications
Wireless networks
title_short LESS-ON: Load-aware edge server shutdown for energy saving in cellular networks
title_full LESS-ON: Load-aware edge server shutdown for energy saving in cellular networks
title_fullStr LESS-ON: Load-aware edge server shutdown for energy saving in cellular networks
title_full_unstemmed LESS-ON: Load-aware edge server shutdown for energy saving in cellular networks
title_sort LESS-ON: Load-aware edge server shutdown for energy saving in cellular networks
dc.creator.none.fl_str_mv Gómez Mora, Blas
Bayhan, Suzan
Coronado Calero, Estefanía
Villalón Millán, José Miguel
Garrido del Solo, Antonio José
author Gómez Mora, Blas
author_facet Gómez Mora, Blas
Bayhan, Suzan
Coronado Calero, Estefanía
Villalón Millán, José Miguel
Garrido del Solo, Antonio José
author_role author
author2 Bayhan, Suzan
Coronado Calero, Estefanía
Villalón Millán, José Miguel
Garrido del Solo, Antonio José
author2_role author
author
author
author
dc.subject.none.fl_str_mv 5G
Edge computing
Energy efficiency
Sustainable communications
Wireless networks
topic 5G
Edge computing
Energy efficiency
Sustainable communications
Wireless networks
description While advances in wireless networks enable novel services with previously unreachable latency guarantees, edge computing becomes essential for delivering computing resources close to the users and meeting the strict latency requirements. However, addressing the energy footprint of computing resources is crucial amid the pressing sustainability concerns. The energy consumption of idle resources accounts for a significant part of the total energy footprint. While server shutdown during low-demand periods is common in cloud computing, it is challenging to determine which edge servers to shut down and how to route requests due to the stringent latency requirements of the applications. Thus, this work formulates an optimal orchestration policy to minimize the energy consumption of the edge computing infrastructure and presents LESS-ON, a strategy with a polynomial time complexity that reduces the operational energy footprint of edge computing by shutting down edge servers during low-demand periods. In contrast to previous studies, LESS-ON considers the energy requirements associated with routing requests to the designated edge servers. Our numerical evaluation shows that LESS-ON reduces the total consumption by 42% with respect to the common always-on approach during low-demand periods and by 35% over 24 h, all while meeting latency requirements.
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10578/44801
url https://hdl.handle.net/10578/44801
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv ELSEVIER
publisher.none.fl_str_mv ELSEVIER
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869404490160930816
score 15.812429

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