Dynamic workload and cooling management in High-Efficiency data centers

Zapater Sancho, Marina and Turk, Ata and Moya Fernández, José Manuel and Ayala Rodrigo, José Luis and Coskun, Ayse K. (2015). Dynamic workload and cooling management in High-Efficiency data centers. In: "Sixth International Green Computing Conference and Sustainable Computing Conference (IGSC 2015)", 14/12/2015 - 16/12/2015, Las Vegas, NV, USA. pp. 1-8. https://doi.org/10.1109/IGCC.2015.7393715.

Description

Title: Dynamic workload and cooling management in High-Efficiency data centers
Author/s:
  • Zapater Sancho, Marina
  • Turk, Ata
  • Moya Fernández, José Manuel
  • Ayala Rodrigo, José Luis
  • Coskun, Ayse K.
Item Type: Presentation at Congress or Conference (Article)
Event Title: Sixth International Green Computing Conference and Sustainable Computing Conference (IGSC 2015)
Event Dates: 14/12/2015 - 16/12/2015
Event Location: Las Vegas, NV, USA
Title of Book: Sixth International Green Computing Conference and Sustainable Computing Conference (IGSC 2015)
Date: 2015
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Energy efficiency research in data centers has traditionally focused on raised-floor air-cooled facilities. As rack power density increases, traditional cooling is being replaced by close-coupled systems that provide enhanced airflow and cooling capacity. This work presents a model for close-coupled data centers with free cooling, and explores the power consumption trade-offs in these facilities as outdoor temperature changes throughout the year. Using this model, we propose a technique that jointly allocates workload and controls cooling in a power-efficient way. Our technique is tested with configuration parameters, power traces, and weather data collected from real-life data centers, and application profiles obtained from enterprise servers. Results show that our joint workload allocation and cooling policy provides 5\% reduction in overall data center energy consumption, and up to 24\% peak power reduction, leading to a 6\% decrease in the electricity costs without affecting performance.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC-2012-33892UnspecifiedUnspecifiedTECNOLOGIAS HW/SW PARA LA EFICIENCIA ENERGETICA EN SISTEMAS DE COMPUTACION DISTRIBUIDOS
Government of SpainRTC-2014-2717-3UnspecifiedUnspecifiedOPTIMIZACIÓN ENERGÉTICA DE CENTROS DE DATOS DE INFRAESTRUCTURAS CLOUD BASADAS EN OPENSTACK
Government of SpainIPT-2012-1041-430000LP CloudUnspecifiedGestión óptima de modos de bajo consumo en cloud computing. Acrónimo

More information

Item ID: 42750
DC Identifier: http://oa.upm.es/42750/
OAI Identifier: oai:oa.upm.es:42750
DOI: 10.1109/IGCC.2015.7393715
Deposited by: Memoria Investigacion
Deposited on: 16 Jul 2016 09:23
Last Modified: 16 Jul 2016 09:23
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