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Analysis of institutional authors

Martinez-Casanueva, Ignacio DCorresponding AuthorBellido, LuisAuthorGonzalez-Sanchez, DanielAuthor

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June 10, 2024
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Article
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CANDIL: A federated data fabric for network analytics

Publicated to: Future Generation Computer Systems-The International Journal Of Escience. 158 98-109 - 2024-09-01 158(), DOI: 10.1016/j.future.2024.04.013

Authors:

Martinez-Casanueva, Ignacio D; Bellido, Luis; Gonzalez-Sanchez, Daniel; Lopez, Diego
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Affiliations

Global CTIO, Tel Innovac Digital Ronda Comunicac, Madrid 28050, Spain - Author
Univ Politecn Madrid, Dept Ingn Sistemas Telematicos, ETSI Telecomun, Ave Complutense, 30, Madrid 28040, Spain - Author

Abstract

The availability of data sources during the Big Data era provides the opportunity for new analytical applications in the networking domain, which are envisioned as one of the main enablers of the future autonomous networks. But the proliferation of heterogeneous data sources has resulted into a sea of data silos, in which finding data, understanding data, and dealing with the complexities of each data source becomes a challenge. Aiming to tackle the connection of data silos, the data fabric has appeared as a new paradigm that provides a uniform access to all the data, abstracting consumers from the underlying complexities of the data sources. In this regard, the knowledge graph has raised as a promising solution that can integrate data from heterogeneous silos based on common concepts captured in ontologies. Building upon knowledge graph standards, this paper introduces CANDIL, a federated data fabric to support the integration of data from distributed systems, mainly focused on networking domain aspects. CANDIL defines an ontology that captures network topology and interface concepts, along with a reference architecture to ingest and integrate data in a federated knowledge graph that spans across the Edge -Cloud continuum. The proposal is validated with a prototype implementation and two example use cases of network analytics.
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Keywords

Data fabricKnowledge graphNetwork analyticsNetwork managemenNetwork managementOntology

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 2025-12-21:

  • WoS: 3
  • Scopus: 7
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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 2025-12-21:

  • 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: 14 (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/88244/

    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: 151
    • Downloads: 58
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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 (DOMINGUEZ MARTINEZ-CASANUEVA, IGNACIO) .

    the author responsible for correspondence tasks has been DOMINGUEZ MARTINEZ-CASANUEVA, IGNACIO.

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    Awards linked to the item

    This work was partially supported by the European Union's Horizon Europe research and innovation program under Grant Agreement No. 101069732 (aerOS project) and by the Spanish Ministry of Economy and Competitiveness, and the Spanish Ministry of Science and Innovation through the ECTICS project (PID2019-105257RB-C21) .
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