期刊
SUSTAINABILITY
卷 13, 期 15, 页码 -出版社
MDPI
DOI: 10.3390/su13158270
关键词
technical sustainability; cloud infrastructure; blockchain; machine learning; data analytics; supply chain
资金
- College of Professional and Continuing Education
This paper proposes a robust blockchain architecture based on cloud infrastructure, demonstrates its technical sustainability and application prospects through a case study, and highlights the role of machine learning in reducing maritime risk.
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.
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