SymbIoT: Towards An Extensible Blockchain Integration Testbed for IIoT
Hayes, John and Aneiba, Adel and Gaber, Mohamed Medhat (2023) SymbIoT: Towards An Extensible Blockchain Integration Testbed for IIoT. In: IIoT-NETs '23: 1st Workshop on Enhanced Network Techniques and Technologies for the Industrial IoT to Cloud Continuum, 10th Sept 2023, NY, New York, USA.
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Abstract
This paper presents SymbIoT, an extensible hybrid simulation-emulation testbed to investigate the integration of blockchain and distributed ledger technology (DLT) within the Industrial Internet of Things (IIoT) continuum. By adopting a joint software and hardware-based approach, we amalgamate the flexibility of software solutions and the real-world applicability offered by integrating comparable IoT hardware. The versatility of SymbIoT lies in its extensibility, offering flexibility in parameters including consensus algorithms, block size, node count and topology, throughput limitation, and use-case application deployment. SymbIoT facilitates comprehensive empirical studies of blockchain implementations within IIoT, focusing on performance, scalability, and security considerations. The testbed provides a platform for innovative and pragmatic experimentation in blockchain and IIoT integration, holding promise for shaping future applications and solutions in this cross-disciplinary field. We also present results from preliminary experimentation, indicating the applicability of the testbed for IIoT and broader IoT-to-cloud scenarios.
| Item Type: | Conference or Workshop Item (Paper) | ||||||
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| Identification Number: | https://doi.org/10.1145/3609389.3610565 | ||||||
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| Uncontrolled Keywords: | IIoT, blockchain, IoT, testbed | ||||||
| Subjects: | CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science | ||||||
| Divisions: | Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology | ||||||
| Depositing User: | Gemma Tonks | ||||||
| Date Deposited: | 25 Oct 2023 15:15 | ||||||
| Last Modified: | 25 Oct 2023 15:15 | ||||||
| URI: | https://www.open-access.bcu.ac.uk/id/eprint/14872 |
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