LAPSE:2021.0785
Published Article
LAPSE:2021.0785
Improving Transactional Data System Based on an Edge Computing−Blockchain−Machine Learning Integrated Framework
October 14, 2021
The modern industry, production, and manufacturing core is developing based on smart manufacturing (SM) systems and digitalization. Smart manufacturing’s practical and meaningful design follows data, information, and operational technology through the blockchain, edge computing, and machine learning to develop and facilitate the smart manufacturing system. This process’s proposed smart manufacturing system considers the integration of blockchain, edge computing, and machine learning approaches. Edge computing makes the computational workload balanced and similarly provides a timely response for the devices. Blockchain technology utilizes the data transmission and the manufacturing system’s transactions, and the machine learning approach provides advanced data analysis for a huge manufacturing dataset. Regarding smart manufacturing systems’ computational environments, the model solves the problems using a swarm intelligence-based approach. The experimental results present the edge computing mechanism and similarly improve the processing time of a large number of tasks in the manufacturing system.
Record ID
Keywords
blockchain, edge computing, Industrial Internet of Things, Machine Learning, smart manufacturing
Subject
Suggested Citation
Shahbazi Z, Byun YC. Improving Transactional Data System Based on an Edge Computing−Blockchain−Machine Learning Integrated Framework. (2021). LAPSE:2021.0785
Author Affiliations
Journal Name
Processes
Volume
9
Issue
1
First Page
pr9010092
Year
2021
Publication Date
2021-01-04
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr9010092, Publication Type: Journal Article
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Published Article
LAPSE:2021.0785
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External Link
https://doi.org/10.3390/pr9010092
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[v1] (Original Submission)
Oct 14, 2021
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Oct 14, 2021
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https://psecommunity.org/LAPSE:2021.0785
Record Owner
Calvin Tsay
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