Memorias de investigación
Ponencias en congresos:
Using Grammatical Evolution Techniques to Model the Dynamic Power Consumption of Enterprise Servers
Año:2015
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones,
  • Ciencias de la computación y tecnología informática,
  • Ingeniería eléctrica, electrónica y automática
Datos
Descripción
The increasing demand for computational resources has led to a significant growth of data center facilities. A major concern has appeared regarding energy efficiency and consumption in servers and data centers. The use of flexible and scalable server power models is a must in order to enable proactive energy optimization strategies. This paper proposes the use of Evolutionary Computation to obtain a model for server dynamic power consumption. To accomplish this, we collect a significant number of server performance counters for a wide range of sequential and parallel applications, and obtain a model via Genetic Programming techniques. Our methodology enables the unsupervised generation of models for arbitrary server architectures, in a way that is robust to the type of application being executed in the server. With our generated models, we are able to predict the overall server power consumption for arbitrary workloads, outperforming previous approaches in the state-of-the-art.
Internacional
Si
Nombre congreso
2015 Ninth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)
Tipo de participación
960
Lugar del congreso
Blumenau, Brasil
Revisores
Si
ISBN o ISSN
978-1-4799-8869-3
DOI
http://dx.doi.org/10.1109/CISIS.2015.16
Fecha inicio congreso
08/07/2015
Fecha fin congreso
10/07/2015
Desde la página
110
Hasta la página
117
Título de las actas
Proceedings of the 2015 Ninth International Conference on Complex, Intelligent, and Software Intensive Systems
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Juan Carlos Salinas Universidad Politecnica de Madrid (LSI)
  • Autor: Marina Zapater Sancho UPM
  • Autor: Jose Luis Risco Universidad Complutense de Madrid
  • Autor: Jose Manuel Moya Fernandez UPM
  • Autor: Jose Luis Ayala Universidad Complutense de Madrid
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Laboratorio de Sistemas Integrados (LSI)
  • Departamento: Ingeniería Electrónica
  • Centro o Instituto I+D+i: Centro de Investigación en Simulación Computacional