Nezami, Z., Pournaras, E. orcid.org/0000-0003-3900-2057, Borzouie, A. et al. (1 more author) (2023) SMOTEC: An Edge Computing Testbed for Adaptive Smart Mobility Experimentation. In: 2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C). 2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), 25-29 Sep 2023, Toronto, Canada. IEEE , pp. 1-7. ISBN 9798350337464
Abstract
Smart mobility becomes paramount for meeting net-zero targets. However, autonomous, self-driving and electric vehicles require more than ever before an efficient, resilient and trustworthy computational offloading backbone that expands throughout the edge-to-cloud continuum. Utilizing on-demand heterogeneous computational resources for smart mobility is challenging and often cost-ineffective. This paper introduces SMOTEC, a novel open-source testbed for adaptive smart mobility experimentation with edge computing. SMOTEC provides for the first time a modular end-to-end instrumentation for prototyping and optimizing placement of intelligence services on edge devices such as augmented reality and real-time traffic monitoring. SMOTEC supports a plug-and-play Docker container integration of the SUMO simulator for urban mobility, Raspberry Pi edge devices communicating via ZeroMQ and EPOS for an AI-based decentralized load balancing across edge-to-cloud. All components are orchestrated by the K3s lightweight Kubernetes. A proof-of-concept of self-optimized service placements for traffic monitoring from Munich demonstrates in practice the applicability and cost-effectiveness of SMOTEC.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Edge Computing, Smart Mobility Experimentation, Testbed, Dynamic Resource Allocation, Traffic Monitoring |
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: | 17 Jan 2024 13:57 |
Last Modified: | 19 Jan 2024 14:20 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ACSOS-C58168.2023.00021 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:207744 |