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Analysis of institutional authors

Martinez, Jose F.Author

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June 9, 2019
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Bringing pervasive embedded networks to the service cloud: A lightweight middleware approach

Publicated to: JOURNAL OF SYSTEMS ARCHITECTURE. 57 (10): 916-933 - 2011-11-01 57(10), DOI: 10.1016/j.sysarc.2011.04.005

Authors:

Corredor, I; Martínez, JF; Familiar, MS
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Affiliations

Univ Politecn Madrid, Escuela Univ Ingn Tecn Telecomunicac, Dept Ingn & Arquitecturas Telemat, Madrid 28031, Spain - Author

Abstract

The emergence of novel pervasive networks that consist of tiny embedded nodes have reduced the gap between real and virtual worlds. This paradigm has opened the Service Cloud to a variety of wireless devices especially those with sensorial and actuating capabilities. Those pervasive networks contribute to build new context-aware applications that interpret the state of the physical world at real-time. However, traditional Service-Oriented Architectures (SOA), which are widely used in the current Internet are unsuitable for such resource-constraint devices since they are too heavy. In this research paper, an internetworking approach is proposed in order to address that important issue. The main part of our proposal is the Knowledge-Aware and Service-Oriented (KASO) Middleware that has been designed for pervasive embedded networks. KASO Middleware implements a diversity of mechanisms, services and protocols which enable developers and business processing designers to deploy, expose, discover, compose, and orchestrate real-world services (i.e. services running on sensor/actuator devices). Moreover, KASO Middleware implements endpoints to offer those services to the Cloud in a REST manner. Our internetworking approach has been validated through a real healthcare telemonitoring system deployed in a sanatorium. The validation tests show that KASO Middleware successfully brings pervasive embedded networks to the Service Cloud. (C) 2011 Elsevier B.V. All rights reserved.
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Keywords

Cloud serviceInternetworking architectureKnowledge managementService-oriented middlewareWireless sensor and actuator network

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal JOURNAL OF SYSTEMS ARCHITECTURE, and although the journal is classified in the quartile Q4 (Agencia WoS (JCR)), its regional focus and specialization in Computer Science, Hardware & Architecture, give it significant recognition in a specific niche of scientific knowledge at an international level.

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 2026-04-25:

  • Google Scholar: 26
  • WoS: 11
  • Scopus: 16
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 71.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 71 (PlumX).

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:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/46554/

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: 479
  • Downloads: 432
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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 (Corredor, Ivan) and Last Author (Familiar, Miguel S.).

the author responsible for correspondence tasks has been Corredor, Ivan.

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Awards linked to the item

This work was supported in part by the European Commission under the IST-034642 mu SWN: Solving Major Problems in Micro Sensorial Networks research project within the Sixth Framework Programme (FP6) (http://www.uswn.eu); and under the ITEA 2-08005 DiYSE: Do-it-Yourself Smart Experiences (http://www.diyse.org).
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