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Analysis of institutional authors

Alarcon, CAuthorLangarita, SAuthorCaballer, MAuthorMolto, GCorresponding Author

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October 28, 2024
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Rescheduling serverless workloads across the cloud-to-edge continuum

Publicated to:Future Generation Computer Systems-The International Journal Of Escience. 153 457-466 - 2024-04-01 153(), DOI: 10.1016/j.future.2023.12.015

Authors: Risco, Sebastian; Alarcon, Caterina; Langarita, Sergio; Caballer, Miguel; Molto, German

Affiliations

Univ Politecn Valencia, Ctr Mixto CSIC, Inst Instrumentac Imagen Mol I3M, Camino Vera S-N - Author

Abstract

Serverless computing was a breakthrough in Cloud computing due to its high elasticity capabilities and finegrained pay -per -use model offered by the main public Cloud providers. Meanwhile, open -source serverless platforms supporting the FaaS (Function as a Service) model allow users to take advantage of many of their benefits while operating on the on -premises platforms of organizations. This opens the possibility to deploy and exploit them on the different layers of the cloud -to -edge continuum, either on IoT (Internet of Things) devices located at the Edge (i.e. next to data acquisition devices), in on -premises clusters closer to the data sources (i.e. Fog computing) or directly on the Cloud. This paper presents two strategies to mitigate the overload that disparate data ingestion rates may cause in low -powered devices at the Edge or Fog layers. To this end, it is proposed to delegate and reschedule serverless jobs between the different layers of the cloud -to -edge continuum using an open -source platform for event -driven file processing. To demonstrate the performance of these strategies, a use case for fire detection is proposed that includes processing in the Fog via minified Kubernetes clusters located near the Edge, in the private Cloud via on -premises elastic clusters and, finally, in the public Cloud by using the AWS (Amazon Web Services) Lambda FaaS service. The results indicate that these strategies can mitigate overloads in use cases involving processing across the cloud -to -edge continuum by coordinating several layers of computing resources.

Keywords

Cloud computingCloud providersCloud-computingCloud-to-edge continuumContainersData acquisitionDifferent layersFaasFine grainedFogFog computingFunction as a serviceInternet of thingsKubernetesPay-per-use modelPublic cloudsServerless computingWeb services

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 2025-07-25:

  • WoS: 3
  • Scopus: 2

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 2025-07-25:

  • 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: 31.
  • 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: 45 (PlumX).

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

  • The Total Score from Altmetric: 2.7.
  • The number of mentions on the social network X (formerly Twitter): 3 (Altmetric).

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 (Risco, S) and Last Author (Moltó Martínez, Germán).

the author responsible for correspondence tasks has been Moltó Martínez, Germán.