Memorias de investigación
Artículos en revistas:
Ubiquitous green computing techniques for high demand applications in smart environments
Año:2012
Áreas de investigación
  • Ciencias de la computación y tecnología informática,
  • Ingeniería eléctrica, electrónica y automática,
  • Eficiencia y ahorro energético
Datos
Descripción
Ubiquitous sensor network deployments, such as the ones found in Smart cities and Ambient intelligence applications, require constantly increasing high computational demands in order to process data and offer services to users. The nature of these applications imply the usage of data centers. Research has paid much attention to the energy consumption of the sensor nodes in WSNs infrastructures. However, supercomputing facilities are the ones presenting a higher economic and environmental impact due to their very high power consumption. The latter problem, however, has been disregarded in the field of smart environment services. This paper proposes an energy-minimization workload assignment technique, based on heterogeneity and application-awareness, that redistributes low-demand computational tasks from high-performance facilities to idle nodes with low and medium resources in the WSN infrastructure. These non-optimal allocation policies reduce the energy consumed by the whole infrastructure and the total execution time.
Internacional
Si
JCR del ISI
Si
Título de la revista
Sensors
ISSN
1424-8220
Factor de impacto JCR
1,739
Información de impacto
Volumen
12
DOI
10.3390/s120810659
Número de revista
8
Desde la página
10659
Hasta la página
10677
Mes
SIN MES
Ranking
Q1 INSTRUMENTS & INSTRUMENTATION (14/58)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Marina Zapater Sancho UPM
  • Autor: Cesar Sanchez IMDEA
  • Autor: Jose Luis Ayala UCM
  • Autor: Jose Manuel Moya Fernandez UPM
  • Autor: Jose Luis Risco UCM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Laboratorio de Sistemas Integrados (LSI)
  • Departamento: Ingeniería Electrónica