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Analysis of institutional authors

Zapater, MarinaCorresponding AuthorArroba, PatriciaAuthorMoya, Jose M.Author

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June 9, 2019
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A novel energy-driven computing paradigm for e-health scenarios

Publicated to: Future Generation Computer Systems-The International Journal of eScience. 34 138-154 - 2014-05-01 34(), DOI: 10.1016/j.future.2013.12.012

Authors:

Zapater, M; Arroba, P; Ayala, JL; Moya, JM; Olcoz, K
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Affiliations

CEI Campus Moncloa UCM UPM, Madrid 28040, Spain - Author
Tech Univ Madrid, Dept Elect Engn, Madrid 28040, Spain - Author
Univ Complutense Madrid, DACYA, E-28040 Madrid, Spain - Author
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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. (C) 2013 Elsevier B.V. All rights reserved.
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Keywords

CloudCloud computingData centersEnergy efficiencyGreen itMetricsPopulation analysisResource management

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Future Generation Computer Systems-The International Journal of eScience due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2014, it was in position 8/101, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Theory & Methods.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-27:

  • Google Scholar: 20
  • WoS: 10
  • Scopus: 13
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Impact and social visibility

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/35712/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 489
  • Downloads: 513
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (ZAPATER SANCHO, MARINA) .

the author responsible for correspondence tasks has been ZAPATER SANCHO, MARINA.

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Awards linked to the item

Research by Marina Zapater has been partly supported by a PICATA predoctoral fellowship of the Moncloa Campus of International Excellence (UCM-UPM). This work has been partially supported by the Spanish Ministry of Economy and Competitiveness, under contracts TEC2012-33892 and IPT-2012-1041-430000, and INCOTEC. The authors thankfully acknowledge the computer resources, technical expertise and assistance provided by the Centro de Supercomputacion y Visualizacion de Madrid (CeSViMa).
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