Ubiquitous green computing techniques for high demand applications in smart environments

Zapater Sancho, Marina; Sánchez, Cesar; Ayala Rodrigo, José Luis; Moya Fernández, José Manuel y Risco Martín, José Luis (2012). Ubiquitous green computing techniques for high demand applications in smart environments. "Sensors", v. 12 (n. 8); pp. 10659-10677. ISSN 1424-8220. https://doi.org/10.3390/s120810659.

Descripción

Título: Ubiquitous green computing techniques for high demand applications in smart environments
Autor/es:
  • Zapater Sancho, Marina
  • Sánchez, Cesar
  • Ayala Rodrigo, José Luis
  • Moya Fernández, José Manuel
  • Risco Martín, José Luis
Tipo de Documento: Artículo
Título de Revista/Publicación: Sensors
Fecha: Agosto 2012
Volumen: 12
Materias:
Palabras Clave Informales: ubiquitous sensor network; green computing; heterogeneous systems; data centers; high performance computing; smart cities; ambient intelligence
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería Electrónica
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (600kB) | Vista Previa

Resumen

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.

Más información

ID de Registro: 16824
Identificador DC: http://oa.upm.es/16824/
Identificador OAI: oai:oa.upm.es:16824
Identificador DOI: 10.3390/s120810659
URL Oficial: http://www.mdpi.com/1424-8220/12/8/10659
Depositado por: Memoria Investigacion
Depositado el: 07 Ago 2013 15:54
Ultima Modificación: 21 Abr 2016 17:10
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM