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

Zapater Sancho, Marina and Arroba García, Patricia and Ayala Rodrigo, José Luis and Moya Fernández, José Manuel and 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.

Description

Title: A novel energy-driven computing paradigm for e-health scenarios
Author/s:
  • Zapater Sancho, Marina
  • Arroba García, Patricia
  • Ayala Rodrigo, José Luis
  • Moya Fernández, José Manuel
  • Olcoz, Katzalin
Item Type: Article
Título de Revista/Publicación: Future Generation Computer Systems. pecial Section: Distributed Solutions for Ubiquitous Computing and Ambient Intelligence
Date: May 2014
ISSN: 0167-739X
Volume: 34
Subjects:
Freetext Keywords: Energy efficiency; Resource management; Data centers; Population analysis; Green IT; Cloud computing
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2012-33892UnspecifiedUCMTECNOLOGIAS HW/SW PARA LA EFICIENCIA ENERGETICA EN SISTEMAS DE COMPUTACION DISTRIBUIDOS
Government of SpainIPT-2012-1041-430000LP CloudUPMGestión óptima de modos de bajo consumo en cloud computing

More information

Item ID: 35712
DC Identifier: http://oa.upm.es/35712/
OAI Identifier: oai:oa.upm.es:35712
DOI: 10.1016/j.future.2013.12.012
Official URL: http://www.sciencedirect.com/science/article/pii/S0167739X13002768
Deposited by: Memoria Investigacion
Deposited on: 06 Jul 2015 16:50
Last Modified: 05 Jun 2019 07:09
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