Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/92008
Title: | Technical sustainability of cloud-based blockchain integrated with machine learning for supply chain management | Authors: | Wong, S Yeung, JKW Lau, YY So, J |
Issue Date: | Aug-2021 | Source: | Sustainability, Aug. 2021, v. 13, no. 15, 8270 | Abstract: | Knowing the challenges of keeping and manipulating more and more immutable transaction records in a blockchain network of various supply chain parties and the opportunities of leveraging sophisticated analyses on the big data generated from these records, design of a robust blockchain architecture based on a cloud infrastructure is proposed. This paper presents this technical design with consideration of the technical sustainability in terms of scalability and big data processing and analytics. A case study was used to illustrate how the technical sustainability is achieved by applying the proposed technical design to the real-time detection of the maritime risk management. This case also illustrates how machine learning mechanism helps to reduce maritime risk by guiding a cargo ship to adjust to the planned or safe route from a detour to a danger zone. This paper also discusses the implications for further research direction. | Keywords: | Blockchain Cloud infrastructure Data analytics Machine learning Supply chain Technical sustainability |
Publisher: | Molecular Diversity Preservation International (MDPI) | Journal: | Sustainability | EISSN: | 2071-1050 | DOI: | 10.3390/su13158270 | Rights: | © 2021 by the authors.Licensee MDPI, Basel, Switzerland.This article is an open access articledistributed under the terms andconditions of the Creative CommonsAttribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). The following publication Wong, S.; Yeung, J.-K.-W.;Lau, Y.-Y.; So, J. TechnicalSustainability of Cloud-BasedBlockchain Integrated with MachineLearning for Supply ChainManagement. Sustainability 2021, 13,8270 is available at https://doi.org/10.3390/su13158270 |
Appears in Collections: | Journal/Magazine Article |
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sustainability-13-08270.pdf | 14.9 MB | Adobe PDF | View/Open |
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