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ORIGINAL RESEARCH article

Front. Built Environ.
Sec. Building Information Modelling (BIM)
Volume 10 - 2024 | doi: 10.3389/fbuil.2024.1355498
This article is part of the Research Topic Blockchain-enabled Sustainable and Smart Construction View all articles

Data redundancy of blockchain systems in construction projects

Provisionally accepted
Weisheng Lu Weisheng Lu 1Liupengfei Wu Liupengfei Wu 1*Chen Chen Chen Chen 2
  • 1 The University of Hong Kong, Pokfulam, Hong Kong, SAR China
  • 2 Hong Kong Polytechnic University, Kowloon, Hong Kong, SAR China

The final, formatted version of the article will be published soon.

    Industrial stakeholders have complained that current blockchain systems are too expensive, particularly in temporary endeavours like construction projects. However, while researchers have examined blockchain system structure among inter-firm organizations in construction, little research has considered the data redundancy of these systems. This research, therefore, provides insight by modelling data redundancy in construction project blockchain systems. We conduct a series of laboratory experiments on a Hyperledger Fabric blockchain system, discovering that the data volume of a blockchain system grows proportionally with the size of the files to be uploaded, the number of peer nodes in the network, and the frequency of blockchain operations in construction, regardless of the block size or how the peers are dispersed in different construction organizations. Beyond identifying the factors that determine data redundancy of a blockchain system, this research provides a basis for researchers to explore the optimization of blockchain storage and the impacts of blockchain system data redundancy in construction projects. In practical terms, the proposed data redundancy model 2 in this research provides a reference for users in construction who aim to build blockchain systems.

    Keywords: Blockchain, Data redundancy, Hyperledger fabric, Model, experiment

    Received: 14 Dec 2023; Accepted: 17 Jun 2024.

    Copyright: © 2024 Lu, Wu and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Liupengfei Wu, The University of Hong Kong, Pokfulam, 999077, Hong Kong, SAR China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.