Edge Computing-based Fault-Tolerant Framework: A Case Study on Vehicular Networks
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2020-06
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Language
en
Pages
8
1541-1548
1541-1548
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2020 International Wireless Communications and Mobile Computing, IWCMC 2020
Abstract
With the evolution of vehicular networks, the Intelligent Transportation System (ITS) has emerged as a promising technology for autonomous road transport. For a successful deployment of ITS, security and reliability are the most challenging factors to be tackled to ensure Vehicle-to-Infrastructure (V2I) and Infrastructure-to-Infrastructure (I2I) communications. Due to unreliable communications in vehicular networks, implementing fault-tolerant techniques for the Road Side Unit (RSU) infrastructure is an imperial need. Within this context, the contributions of this paper are twofold: (i) we propose a distributed fault-tolerant framework for V2I and I2I communications based on edge computing to resolve hardware- and network connectivity-based failures. The fault tolerance issue is addressed by employing open messaging standards as a subscription-based data replication solution at the edge. We also adopt Kubernetes for the fault-tolerant management, combined with high-availability mechanism, allowing automatic reconfiguration of the data processing pipeline; and (ii) we implement a demonstrator system for vehicular networks-based smart mobility to assess fault tolerance capabilities. The experimental results show that our proposed framework dynamically tolerates RSU-related failures during the vehicular communication phase.Description
| openaire: EC/H2020/688203/EU//bIoTope
Keywords
edge computing, fault tolerance, Internet of Things, roadside unit, vehicular network
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Citation
Javed, A, Malhi, A & Framling, K 2020, Edge Computing-based Fault-Tolerant Framework : A Case Study on Vehicular Networks . in 2020 International Wireless Communications and Mobile Computing, IWCMC 2020 ., 9148269, IEEE, pp. 1541-1548, International Wireless Communications and Mobile Computing Conference, Limassol, Cyprus, 15/06/2020 . https://doi.org/10.1109/IWCMC48107.2020.9148269