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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.
Title: | A novel energy-driven computing paradigm for e-health scenarios |
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Author/s: |
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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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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.
Type | Code | Acronym | Leader | Title |
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Government of Spain | TEC2012-33892 | Unspecified | UCM | TECNOLOGIAS HW/SW PARA LA EFICIENCIA ENERGETICA EN SISTEMAS DE COMPUTACION DISTRIBUIDOS |
Government of Spain | IPT-2012-1041-430000 | LP Cloud | UPM | Gestión óptima de modos de bajo consumo en cloud computing |
Item ID: | 35712 |
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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 |