A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration
Author:
Funder
Key Technologies Research and Development Program
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10845-024-02424-0.pdf
Reference37 articles.
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2. Bécue, A., Maia, E., Feeken, L., Borchers, P., & Praça, I. (2020). A new concept of digital twin supporting optimization and resilience of factories of the future. Applied Sciences, 10(13), 4482. https://doi.org/10.3390/app10134482
3. Chen, G., Wang, P., Feng, B., Li, Y., & Liu, D. (2020). The framework design of smart factory in discrete manufacturing industry based on cyber-physical system. International Journal of Computer Integrated Manufacturing, 33(1), 79–101. https://doi.org/10.1080/0951192X.2019.1699254
4. Chen, L., Lu, Z., Xiao, A., Duan, Q., Wu, J., & Hung, P. C. K. (2022). A resource recommendation model for heterogeneous workloads in fog-based smart factory environment. IEEE Transactions on Automation Science and Engineering. https://doi.org/10.1109/TASE.2022.3141590
5. Dang, H., Tatipamula, M., & Nguyen, H. X. (2022). Cloud-based digital twinning for structural health monitoring using deep learning. IEEE Transactions on Industrial Informatics, 18(6), 3820–3830. https://doi.org/10.1109/TII.2021.3115119
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