Nezami, Z., Chaniotakis, E. and Pournaras, E. orcid.org/0000-0003-3900-2057 (2025) When Computing Follows Vehicles: Decentralized Mobility-Aware Resource Allocation for Edge-to-Cloud Continuum. IEEE Internet of Things Journal. ISSN 2327-4662
Abstract
The transformation of smart mobility is unprecedented–Autonomous, shared and electric connected vehicles, along with the urgent need to meet ambitious net-zero targets by shifting to low-carbon transport modalities result in new traffic patterns and requirements for real-time computation at large-scale, for instance, self-driving cars and augmented reality applications. The cloud computing paradigm can neither respond to such low-latency requirements nor adapt resource allocation to such dynamic spatio-temporal service requests. This paper addresses this grand challenge by introducing a novel decentralized optimization framework for mobility-aware edge-to-cloud resource allocation, service offloading, provisioning and load-balancing. In contrast to related work, this framework comes with superior efficiency and cost-effectiveness under evaluation in real-world traffic settings and mobility datasets. This breakthrough capability of ‘computing follows vehicles’ proves to be superior to balance resource utilization in a highly cost-effective way, while preventing service deadline violations by 14%-34%.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of an article published in IEEE Internet of Things Journal, made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Edge-to-Cloud Computing, Smart Mobility, Distributed Optimization, Dynamic Resource Allocation, Multi-agent System |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EU - European Union 10043071 MRC (Medical Research Council) MR/W009560/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Mar 2025 11:35 |
Last Modified: | 07 Apr 2025 13:42 |
Status: | Published online |
Publisher: | IEEE |
Identification Number: | 10.1109/JIOT.2025.3552504 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:224521 |