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Analysis of institutional authors

Arroba, PatriciaCorresponding AuthorCardenas, RomanAuthorMoya, Jose MAuthor

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May 19, 2024
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Sustainable edge computing: Challenges and future directions

Publicated to: SOFTWARE-PRACTICE & EXPERIENCE. 54 (11): 2272-2296 - 2024-11-01 54(11), DOI: 10.1002/spe.3340

Authors:

Arroba, Patricia; Buyya, Rajkumar; Cardenas, Roman; Risco-Martin, Jose L; Moya, Jose M
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Affiliations

Univ Complutense Madrid, Dept Comp Architecture & Automat, Madrid, Spain - Author
Univ Melbourne, Cloud Comp & Distributed Syst CLOUDS Lab, Melbourne, Australia - Author
Univ Politecn Madrid, Ctr Computat Simulat, Dept Elect Engn, Madrid, Spain - Author
Univ Politecn Madrid, Dept Elect Engn, ETSI Telecomunicac, Madrid, Spain - Author
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Abstract

The advent of edge computing holds immense promise for advancing the digitization of society, ushering in critical applications that elevate the overall quality of life. Yet, the practical implementation of the edge paradigm proves more challenging than anticipated, encountering disruptions primarily due to the constraints of applying conventional cloud-based strategies at the network's periphery. Increasingly influenced by sustainability commitments, industry regulations currently view edge computing as a potential threat, primarily due to the energy inefficiency of solutions situated in close proximity to data generation sources and the rising density of computing. This paper presents a proactive strategy to transform the perceived threat into an opportunity, steering the sustainable evolution of future edge infrastructures to make them both environmentally and economically competitive for accelerated adoption. The vision outlined addresses key challenges associated with edge deployment and operation, emphasizing energy efficiency, fault-tolerant automation, and collaborative orchestration. The proposed approach integrates two-phase immersion cooling, formal modeling, machine learning, and federated management to effectively harness heterogeneity, propelling the sustainability of edge computing. To substantiate the efficacy of this approach, the paper details initial efforts towards establishing the sustainability of an edge infrastructure designed for an Advanced Driver Assistance Systems application.
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Keywords

Advanced driver assistance systemsAutomated operationsAutomobile driversCollaborative resource managementEdge computingEdge federationEdge federationsEnergy efficiencyFault toleranceFault-tolerantFault-tolerant automated operationFormal modelingImmersion coolingNetworkOptimizationSustainable developmentTwo phaseTwo-phase immersion cooling

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal SOFTWARE-PRACTICE & EXPERIENCE 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 58/129, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Computer Science, Software Engineering. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Software.

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 2026-04-07:

  • Google Scholar: 19
  • WoS: 7
  • Scopus: 18
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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 2026-04-07:

  • 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: 59 (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:

    • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/86876/

    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: 200
    • Downloads: 119
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    Leadership analysis of institutional authors

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

    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 (ARROBA GARCIA, PATRICIA) and Last Author (MOYA FERNANDEZ, JOSE MANUEL).

    the author responsible for correspondence tasks has been ARROBA GARCIA, PATRICIA.

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    Awards linked to the item

    We would like to thank 3M, Adam Data Centers, ImesAPI, and Tychetools for their support of this research. This work is partially supported by the HiPEAC6 Network, financed by the European Union's Horizon2020 research and innovation programme, and by the University of Melbourne. This research has also been supported by the Centre for the Development of Industrial Technology (CDTI) and State R&D Program Oriented to the Challenges of the Society (Retos Colaboracion 2017) under contracts IDI-20171194 and RTC-2017-6090-3 from the Spanish Ministry of Science and Innovation, and by the Spanish State Research Agency under grant PID2019-110866RB-I00/AEI/10.13039/501100011033.
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