Leakage-Aware Cooling Management for Improving Server Energy Efficiency

The computational and cooling power demands of enterprise servers are increasing at an unsustainable rate. Understanding the relationship between computational power, temperature, leakage, and cooling power is crucial to enable energy-efficient operation at the server and data center levels. This pa...

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Detalles Bibliográficos
Autores: Zapater Sancho, Marina, Ayala Rodrigo, José Luis, Tuncer, Ozan, Moya, José M., Vaidyanathan, Kalyan, Gross, Kenny, Coskun, Ayse K.
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/24264
Acceso en línea:https://hdl.handle.net/20.500.14352/24264
Access Level:acceso abierto
Palabra clave:537
Temperature
Energy-efficiency
Cooling control
Leakage power
Data centers
Electricidad
Electrónica (Física)
2202.03 Electricidad
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oai_identifier_str oai:docta.ucm.es:20.500.14352/24264
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repository_id_str
spelling Leakage-Aware Cooling Management for Improving Server Energy EfficiencyZapater Sancho, MarinaAyala Rodrigo, José LuisTuncer, OzanMoya, José M.Vaidyanathan, KalyanGross, KennyCoskun, Ayse K.537TemperatureEnergy-efficiencyCooling controlLeakage powerData centersElectricidadElectrónica (Física)2202.03 ElectricidadThe computational and cooling power demands of enterprise servers are increasing at an unsustainable rate. Understanding the relationship between computational power, temperature, leakage, and cooling power is crucial to enable energy-efficient operation at the server and data center levels. This paper develops empirical models to estimate the contributions of static and dynamic power consumption in enterprise servers for a wide range of workloads, and analyzes the interactions between temperature, leakage, and cooling power for various workload allocation policies. We propose a cooling management policy that minimizes the server energy consumption by setting the optimum fan speed during runtime. Our experimental results on a presently shipping enterprise server demonstrate that including leakage awareness in workload and cooling management provides additional energy savings without any impact on performance.IEEE Computer Soc.Universidad Complutense de Madrid20152015-10-0120152015-10-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/24264reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/242642026-06-02T12:44:21Z
dc.title.none.fl_str_mv Leakage-Aware Cooling Management for Improving Server Energy Efficiency
title Leakage-Aware Cooling Management for Improving Server Energy Efficiency
spellingShingle Leakage-Aware Cooling Management for Improving Server Energy Efficiency
Zapater Sancho, Marina
537
Temperature
Energy-efficiency
Cooling control
Leakage power
Data centers
Electricidad
Electrónica (Física)
2202.03 Electricidad
title_short Leakage-Aware Cooling Management for Improving Server Energy Efficiency
title_full Leakage-Aware Cooling Management for Improving Server Energy Efficiency
title_fullStr Leakage-Aware Cooling Management for Improving Server Energy Efficiency
title_full_unstemmed Leakage-Aware Cooling Management for Improving Server Energy Efficiency
title_sort Leakage-Aware Cooling Management for Improving Server Energy Efficiency
dc.creator.none.fl_str_mv Zapater Sancho, Marina
Ayala Rodrigo, José Luis
Tuncer, Ozan
Moya, José M.
Vaidyanathan, Kalyan
Gross, Kenny
Coskun, Ayse K.
author Zapater Sancho, Marina
author_facet Zapater Sancho, Marina
Ayala Rodrigo, José Luis
Tuncer, Ozan
Moya, José M.
Vaidyanathan, Kalyan
Gross, Kenny
Coskun, Ayse K.
author_role author
author2 Ayala Rodrigo, José Luis
Tuncer, Ozan
Moya, José M.
Vaidyanathan, Kalyan
Gross, Kenny
Coskun, Ayse K.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 537
Temperature
Energy-efficiency
Cooling control
Leakage power
Data centers
Electricidad
Electrónica (Física)
2202.03 Electricidad
topic 537
Temperature
Energy-efficiency
Cooling control
Leakage power
Data centers
Electricidad
Electrónica (Física)
2202.03 Electricidad
description The computational and cooling power demands of enterprise servers are increasing at an unsustainable rate. Understanding the relationship between computational power, temperature, leakage, and cooling power is crucial to enable energy-efficient operation at the server and data center levels. This paper develops empirical models to estimate the contributions of static and dynamic power consumption in enterprise servers for a wide range of workloads, and analyzes the interactions between temperature, leakage, and cooling power for various workload allocation policies. We propose a cooling management policy that minimizes the server energy consumption by setting the optimum fan speed during runtime. Our experimental results on a presently shipping enterprise server demonstrate that including leakage awareness in workload and cooling management provides additional energy savings without any impact on performance.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-10-01
2015
2015-10-01
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/20.500.14352/24264
url https://hdl.handle.net/20.500.14352/24264
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 IEEE Computer Soc.
publisher.none.fl_str_mv IEEE Computer Soc.
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
_version_ 1869411729269587968
score 15,300724

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