Memorias de investigación
Communications at congresses:
Server Power Modeling for {Run-Time} Energy Optimization of Cloud Computing Facilities
Year:2014

Research Areas
  • Engineering

Information
Abstract
As advanced Cloud services are becoming mainstream, the contribution of data centers in the overall power consumption of modern cities is growing dramatically. The average consumption of a single data center is equivalent to the energy consumption of 25.000 households. Modeling the power consumption for these infrastructures is crucial to anticipate the effects of aggressive optimization policies, but accurate and fast power modeling is a complex challenge for high-end servers not yet satisfied by analytical approaches. This work proposes an automatic method, based on Multi-Objective Particle Swarm Optimization, for the identification of power models of enterprise servers in Cloud data centers. Our approach, as opposed to previous procedures, does not only consider the workload consolidation for deriving the power model, but also incorporates other non traditional factors like the static power consumption and its dependence with temperature. Our experimental results shows that we reach slightly better models than classical approaches, but simul- taneously simplifying the power model structure and thus the numbers of sensors needed, which is very promising for a short-term energy prediction. This work, validated with real Cloud applications, broadens the possibilities to derive efficient energy saving techniques for Cloud facilities.
International
Si
Congress
Sustainability in Energy and Buildings
960
Place
Reviewers
Si
ISBN/ISSN
1876-6102
10.1016/j.egypro.2014.12.402
Start Date
25/06/2014
End Date
27/06/2014
From page
401
To page
410
6th International Conference on Sustainability in Energy and Buildings
Participants
  • Autor: Patricia Arroba Garcia UPM
  • Autor: Jose Luis Risco-Martín Universidad Complutense de Madrid
  • Autor: Marina Zapater Sancho UPM
  • Autor: Jose Manuel Moya Fernandez UPM
  • Autor: Jose Luis Ayala Rodrigo Universidad Complutense de Madrid
  • Autor: Katzalin Olcoz Universidad Complutense de Madrid

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Laboratorio de Sistemas Integrados (LSI)
  • Departamento: Ingeniería Electrónica