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On the leakage-power modeling for optimal server operation
Cita
Arroba García, Patricia 
ORCID: https://orcid.org/0000-0002-0587-997X, Zapater Sancho, Marina, Ayala, José L., Moya Fernández, José Manuel ORCID: https://orcid.org/0000-0003-4433-2296, Olcoz, Katzalin and Hermida, Román
(2013).
On the leakage-power modeling for optimal server operation.
En: "XXIV Jornadas de Paralelismo", 17/09/2013 - 20/09/2013, Madrid, Spain. pp. 240-244.
ORCID: https://orcid.org/0000-0002-0587-997X, Zapater Sancho, Marina, Ayala, José L., Moya Fernández, José Manuel ORCID: https://orcid.org/0000-0003-4433-2296, Olcoz, Katzalin and Hermida, Román
(2013).
On the leakage-power modeling for optimal server operation.
En: "XXIV Jornadas de Paralelismo", 17/09/2013 - 20/09/2013, Madrid, Spain. pp. 240-244.
Descripción
| Título: | On the leakage-power modeling for optimal server operation |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | XXIV Jornadas de Paralelismo |
| Fechas del Evento: | 17/09/2013 - 20/09/2013 |
| Lugar del Evento: | Madrid, Spain |
| Título del Libro: | XXIV Jornadas de Paralelismo |
| Fecha: | 2013 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Power consumption, Leakage,cooling, efficiency |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Ingeniería Electrónica |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
Leakage power consumption is a com- ponent of the total power consumption in data cen- ters that is not traditionally considered in the set- point temperature of the room. However, the effect of this power component, increased with temperature, can determine the savings associated with the careful management of the cooling system, as well as the re- liability of the system. The work presented in this paper detects the need of addressing leakage power in order to achieve substantial savings in the energy consumption of servers. In particular, our work shows that, by a careful detection and management of two working regions (low and high impact of thermal- dependent leakage), energy consumption of the data- center can be optimized by a reduction of the cooling budget.
Más información
| ID de Registro: | 29883 |
|---|---|
| Identificador DC: | https://oa.upm.es/29883/ |
| Identificador OAI: | oai:oa.upm.es:29883 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 23 Jul 2014 18:48 |
| Ultima Modificación: | 22 Abr 2016 00:14 |
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