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Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

Martin-Perez, JorgeAuthor

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January 21, 2026
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Optimal Scaling and Offloading for Sustainable Provision of Reliable V2N Services in Dynamic and Static Scenarios

Publicated to: IEEE Transactions on Network and Service Management. 23 267-286 - 2026-01-01 23(), DOI: 10.1109/tnsm.2025.3605408

Authors:

Chatzieleftheriou, Livia Elena; Perez-Valero, Jesus; Martin-Perez, Jorge; Serrano, Pablo
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Affiliations

Delft Univ Technol, NL-2628 XE Delft, Netherlands - Author
IMDEA Networks Inst, NETCOM Lab, Leganes 28918, Spain - Author
Univ Carlos III Madrid, Escuela Politecn Super, Leganes 28911, Spain - Author
Univ Murcia, Dept Informat & Commun Engn, Murcia 30003, Spain - Author
Univ Politcn Madrid, Dept Ingn Sistemas Telematicos, Madrid 28040, Spain - Author
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Abstract

The rising popularity of Vehicle-to-Network (V2N) applications is driven by the Ultra-Reliable Low-Latency Communications (URLLC) service offered by 5G. Distributed resources can help manage heavy traffic from these applications, but complicate traffic routing under URLLC's strict delay requirements. In this article, we introduce the V2N Computation Offloading and CPU Activation (V2N-COCA) problem, aiming at the monetary/energetic cost minimization via computation offloading and edge/cloud CPU activation decisions, under stringent latency constraints. Some challenges are the proven non-monotonicity of the objective function and the no-existence of closed-formulas for the sojourn time of tasks. We present a provably tight approximation for the latter, and we design BiQui, a provably asymptotically optimal and computationally efficient algorithm for the V2N-COCA problem. We then study dynamic scenarios, introducing the Swap-Prevention problem, to account for changes in the traffic load and minimize the switching on/off of CPUs without incurring into overcosts. We prove the problem's structural properties and exploit them to design Min-Swap, a provably correct and computationally effective algorithm for the Swap-Prevention Problem. We assess both BiQui and Min-Swap over real-world vehicular traffic traces, performing a sensitivity analysis and a stress-test. Results show that (i) BiQui is near-optimal and significantly outperforms existing solutions; and (ii) Min-Swap reduces by a >= 90% the CPU swapping incurring into just
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Keywords

5gAlgorithm designApproximationsArtificial intelligenceAsymptotic optimalityCentral processing unitComputational modelingCostsDelaysOptimization problemQueueing theoryReliabilityResource-allocationResponsible consumption and productionServersUltra reliable low latency communicationUltra-reliable low-latency communicationsUrllcV2nVehicle dynamicsVehicle-to-networkVideos

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal IEEE Transactions on Network and Service Management 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, 2026, it was in position 42/258, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Information Systems.

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 2026-04-24:

  • WoS: 1
  • Scopus: 1
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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 2026-04-24:

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: 7.
  • The number of mentions in news outlets: 1 (Altmetric).

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/90833/

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: 92
  • Downloads: 55
Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 12 - Ensure sustainable consumption and production patterns, with a probability of 53% according to the mBERT algorithm developed by Aurora University.
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Leadership analysis of institutional authors

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

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Awards linked to the item

The work of Livia Elena Chatzieleftheriou was supported by her Juan de la Cierva award (JDC2022-050266-I), funded by MCIU/AEI/10.13039/501100011033 and the European Union "NextGenerationEU"/PRTR, and by the MADQuantum-CM project, funded by the Regional Government of Madrid and the EU "NextGenerationEU"/PRTR. This work is also partially supported by the Spanish Ministry of Economic Affairs and Digital Transformation and the European Union-NextGenerationEU through the UNICO 5G I+D SORUS project, and by the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation programme under Grant Agreement No 101192035 (AMAZING-6G).
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