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IoTEF: A Federated Edge-Cloud Architecture for Fault-Tolerant IoT Applications

  • Asad JavedEmail author
  • Jérémy Robert
  • Keijo Heljanko
  • Kary Främling
Open Access
Article
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Abstract

The evolution of Internet of Things (IoT) technology has led to an increased emphasis on edge computing for Cyber-Physical Systems (CPS), in which applications rely on processing data closer to the data sources, and sharing the results across heterogeneous clusters. This has simplified the data exchanges between IoT/CPS systems, the cloud, and the edge for managing low latency, minimal bandwidth, and fault-tolerant applications. Nonetheless, many of these applications administer data collection on the edge and offer data analytic and storage capabilities in the cloud. This raises the problem of separate software stacks between the edge and the cloud with no unified fault-tolerant management, hindering dynamic relocation of data processing. In such systems, the data must also be preserved from being corrupted or duplicated in the case of intermittent long-distance network connectivity issues, malicious harming of edge devices, or other hostile environments. Within this context, the contributions of this paper are threefold: (i) to propose a new Internet of Things Edge-Cloud Federation (IoTEF) architecture for multi-cluster IoT applications by adapting our earlier Cloud and Edge Fault-Tolerant IoT (CEFIoT) layered design. We address the fault tolerance issue by employing the Apache Kafka publish/subscribe platform as the unified data replication solution. We also deploy Kubernetes for fault-tolerant management, combined with the federated scheme, offering a single management interface and allowing automatic reconfiguration of the data processing pipeline, (ii) to formulate functional and non-functional requirements of our proposed solution by comparing several IoT architectures, and (iii) to implement a smart buildings use case of the ongoing Otaniemi3D project as proof-of-concept for assessing IoTEF capabilities. The experimental results conclude that the architecture minimizes latency, saves network bandwidth, and handles both hardware and network connectivity based failures.

Keywords

Internet of Things Distributed systems Edge Cloud Microservice Containers Smart buildings Kubernetes Kafka 

Notes

Acknowledgements

This research is supported by the EUs Horizon 2020 research and innovation program (grant 688203) and Academy of Finland (Open Messaging Interface; grant 296096, APTV; grant 277522, and SINGPRO; grant 313469). The authors would like to thank Jaakko Kotimäki and Markus Murhu from the CS IT department of Aalto University for their help in the experiments setup.

Funding Information

Open access funding provided by Aalto University.

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Copyright information

© The Author(s) 2020

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.Department of Computer ScienceAalto UniversityEspooFinland
  2. 2.University of Luxembourg - Interdisciplinary Centre For Security, Reliability and TrustLuxembourg CityLuxembourg
  3. 3.Department of Computer ScienceUniversity of HelsinkiHelsinkiFinland
  4. 4.Department of Computing ScienceUmeå UniversityUmeåSweden

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