A novel energy-driven computing paradigm for e-health scenarios

Zapater Sancho, Marina; Arroba García, Patricia; Ayala Rodrigo, José Luis; Moya Fernández, José Manuel y Olcoz, Katzalin (2014). A novel energy-driven computing paradigm for e-health scenarios. "Future Generation Computer Systems. pecial Section: Distributed Solutions for Ubiquitous Computing and Ambient Intelligence", v. 34 ; pp. 138-154. ISSN 0167-739X. https://doi.org/10.1016/j.future.2013.12.012.

Descripción

Título: A novel energy-driven computing paradigm for e-health scenarios
Autor/es:
  • Zapater Sancho, Marina
  • Arroba García, Patricia
  • Ayala Rodrigo, José Luis
  • Moya Fernández, José Manuel
  • Olcoz, Katzalin
Tipo de Documento: Artículo
Título de Revista/Publicación: Future Generation Computer Systems. pecial Section: Distributed Solutions for Ubiquitous Computing and Ambient Intelligence
Fecha: Mayo 2014
Volumen: 34
Materias:
Palabras Clave Informales: Energy efficiency; Resource management; Data centers; Population analysis; Green IT; Cloud computing
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 (5MB) | Vista Previa

Resumen

A first-rate e-Health system saves lives, provides better patient care, allows complex but useful epidemiologic analysis and saves money. However, there may also be concerns about the costs and complexities associated with e-health implementation, and the need to solve issues about the energy footprint of the high-demanding computing facilities. This paper proposes a novel and evolved computing paradigm that: (i) provides the required computing and sensing resources; (ii) allows the population-wide diffusion; (iii) exploits the storage, communication and computing services provided by the Cloud; (iv) tackles the energy-optimization issue as a first-class requirement, taking it into account during the whole development cycle. The novel computing concept and the multi-layer top-down energy-optimization methodology obtain promising results in a realistic scenario for cardiovascular tracking and analysis, making the Home Assisted Living a reality.

Más información

ID de Registro: 35712
Identificador DC: http://oa.upm.es/35712/
Identificador OAI: oai:oa.upm.es:35712
Identificador DOI: 10.1016/j.future.2013.12.012
URL Oficial: http://www.sciencedirect.com/science/article/pii/S0167739X13002768
Depositado por: Memoria Investigacion
Depositado el: 06 Jul 2015 16:50
Ultima Modificación: 01 Jun 2016 22:30
  • 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