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A Blockchain-Based Decentralized Self-balancing Architecture for the Web of Things

Part of the Communications in Computer and Information Science book series (CCIS,volume 1064)


Edge computing is a distributed computing paradigm that relies on the computational resources of end devices in a network to bring benefits such as low bandwidth utilization, responsiveness, scalability and privacy preservation. Applications range from large scale sensor networks to IoT, and concern multiple domains (agriculture, supply chain, medicine, etc.). However, resource usage optimization is a challenge due to the limited capacity of edge devices and is typically handled in a centralized way, which remains an important limitation. In this paper, we propose a decentralized approach that relies on a combination of blockchain and a consensus algorithm to monitor network resources and, if necessary, migrate applications at run-time. We integrate our solution into an application container platform, thus providing an edge architecture capable of general purpose computation. We validate and evaluate our solution with a proof-of-concept implementation in a national cultural heritage building.


  • Edge computing
  • Internet of Things
  • Decentralized applications
  • Blockchain

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The authors gratefully acknowledge the European Commission for funding the InnoRenew CoE project (Grant Agreement #739574) under the Horizon2020 Widespread-Teaming program and the Republic of Slovenia (Investment funding of the Republic of Slovenia and the European Union of the European regional Development Fund). The first author also acknowledges the support of the ARRS grant N1-0093.

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Correspondence to Aleksandar Tošić .

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Tošić, A., Vičič, J., Mrissa, M. (2019). A Blockchain-Based Decentralized Self-balancing Architecture for the Web of Things. In: Welzer, T., et al. New Trends in Databases and Information Systems. ADBIS 2019. Communications in Computer and Information Science, vol 1064. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30277-1

  • Online ISBN: 978-3-030-30278-8

  • eBook Packages: Computer ScienceComputer Science (R0)