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Analysis of institutional authors

González-Gerpe, SalvadorAuthorCastillo-Cara, ManuelCorresponding AuthorCimmino, AndreaAuthorGarcía-Castro, RaúlAuthor

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June 24, 2024
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Article
Hybrid Gold

From cloud and fog computing to federated-fog computing: A comparative analysis of computational resources in real-time IoT applications based on semantic interoperability

Publicated to: Future Generation Computer Systems-The International Journal Of Escience. 159 134-150 - 2024-10-01 159(), DOI: https://doi.org/10.1016/j.future.2024.05.001

Authors:

Huaranga-Junco, Edgar; Gonzalez-Gerpe, Salvador; Castillo-Cara, Manuel; Cimmino, Andrea; Garcia-Castro, Raul
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Affiliations

Univ Lima, Lima, Peru - Author
Univ Nacl Educ Distancia, Madrid, Spain - Author
Univ Politecn Madrid, Madrid, Spain - Author
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Abstract

In contemporary computing paradigms, the evolution from cloud computing to fog computing and the recent emergence of federated-fog computing have introduced new challenges pertaining to semantic interoperability, particularly in the context of real-time applications. Fog computing, by shifting computational processes closer to the network edge at the local area network level, aims to mitigate latency and enhance efficiency by minimising data transfers to the cloud. Building upon this, federated-fog computing extends the paradigm by distributing computing resources across diverse organisations and locations, while maintaining centralised management and control. This research article addresses the inherent problematics in achieving semantic interoperability within the evolving architectures of cloud computing, fog computing, and federated-fog computing. Experimental investigations are conducted on a diverse node-based testbed, simulating various enduser devices, to emphasise the critical role of semantic interoperability in facilitating seamless data exchange and integration. Furthermore, the efficacy of federated-fog computing is rigorously evaluated in comparison to traditional fog and cloud computing frameworks. Specifically, the assessment focuses on critical factors such as latency time and computational resource utilisation while processing real-time data streams generated by Internet of Things (IoT) devices. The findings of this study underscore the advantages of federated-fog computing over conventional cloud and fog computing paradigms, particularly in the realm of real-time IoT applications demanding high performance (lowering CPU usage to 20%) and low latency (with picks up to 300ms). The research contributes valuable insights into the optimisation of processing architectures for contemporary computing paradigms, offering implications for the advancement of semantic interoperability in the context of emerging federated-fog computing for IoT applications.
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Keywords

Data federatioData federationFederated-fog computingFog computingInternetIot architecturesPerformance evaluationSemantic interoperabilityThing

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, 2024 there are still no calculated indicators, but in 2023, it was in position 15/147, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Theory & Methods. Notably, the journal is positioned above the 90th percentile.

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 2025-12-20:

  • WoS: 7
  • Scopus: 21
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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 2025-12-20:

  • 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: 47 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    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/90401/

    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: 49
    • Downloads: 61
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    Leadership analysis of institutional authors

    This work has been carried out with international collaboration, specifically with researchers from: Peru.

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (GARCIA CASTRO, RAUL).

    the author responsible for correspondence tasks has been CASTILLO CARA, JOSE MANUEL.

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    Awards linked to the item

    The research leading to these results has been funded by the European Union's Horizon 2020 Research and Innovation Programme through the AURORAL project, Grant Agreement No. 101016854; by the CYTED, Grant No. 520rt0011; by the Madrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement with the Universidad Politecnica de Madrid in the Excellence Programme for University Teaching Staff, in the context of the V PRICIT (Regional Programme of Research and Technological Innovation) ; and by UNED funding for open access publishing.
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