SMOTEC: An Edge Computing Testbed for Adaptive Smart Mobility Experimentation

SMOTEC: An Edge Computing Testbed for Adaptive Smart Mobility Experimentation
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DOI:
10.1109/acsos-c58168.2023.00021
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发表时间:
2023-07
期刊:
2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)
影响因子:
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通讯作者:
Zeinab Nezami;Evangelos Pournaras;Amir Borzouie;Jie Xu
Zeinab Nezami;Evangelos Pournaras;Amir Borzouie;Jie Xu
中科院分区:
其他
文献类型:
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作者:
Zeinab Nezami;Evangelos Pournaras;Amir Borzouie;Jie Xu

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相似文献

智能移动性成为实现净零目标的首要条件。然而,自动驾驶、自动驾驶和电动汽车比以往任何时候都更需要一个高效、弹性和值得信赖的计算卸载主干,该主干可以扩展到整个边缘到云的连续体。利用随需应变的异类计算资源实现智能移动性具有挑战性,而且往往成本效益不高。本文介绍了一种新型的开源边缘计算自适应智能移动实验床SMOTEC。SMOTEC首次为增强现实和实时交通监控等边缘设备上的智能服务的原型和优化放置提供了模块化的端到端工具。SMOTEC支持城市移动性的相扑模拟器、Raspberry PI边缘设备通过ZeroMQ和EPOS进行通信的即插即用Docker容器集成,以在边缘到云之间实现基于AI的去中心化负载平衡。所有组件都由K3S轻量级Kubernetes编排。来自慕尼黑的用于交通监控的自我优化服务放置的概念验证在实践中证明了SMOTEC的适用性和成本效益。
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.