A digital shadow framework using distributed system concepts
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-022-02028-6.pdf
Reference67 articles.
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2. Alaasam, A.B.A., Radchenko, G., & Tchernykh, A. (2019). Stateful stream processing for digital twins: Microservice-based kafka stream DSL. In 2019 international multi-conference on engineering, computer and information sciences (SIBIRCON) (pp. 0804–0809). https://doi.org/10.1109/SIBIRCON48586.2019.8958367
3. Alexopoulos, K., Nikolakis, N., & Chryssolouris, G. (2020). Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing. International Journal of Computer Integrated Manufacturing, 33(5), 429–439. https://doi.org/10.1080/0951192X.2020.1747642
4. Becker, F., Bibow, P., Dalibor, M., Gannouni, A., Hahn, V., Hopmann, C., Jarke, M., Koren, I., Kröger, M., Lipp, J., Maibaum, J., Michael, J., Rumpe, B., Sapel, P., Schäfer, N., Schmitz, G., Schuh, G., & Wortmann, A. (2021). A conceptual model for digital shadows in industry and its application. Lecture notes in computer science (LNCS). In A. Ghose, J. Horkoff, V. E. Silva Souza, et al. (Eds.), Conceptual modeling (Vol. 13011, pp. 271–281). Springer.
5. Borghesi, A., Di Modica, G., Bellavista, P., Gowtham, V., Willner, A., Nehls, D., Kintzler, F., Cejka, S., Tisbeni, S. R., Costantini, A., Galletti, M., Antonacci, M., & Ahouangonou, J. C. (2021). Iotwins: Design and implementation of a platform for the management of digital twins in industrial scenarios. In 2021 IEEE/ACM 21st international symposium on cluster, cloud and internet computing (CCGrid) (pp 625–633). https://doi.org/10.1109/CCGrid51090.2021.00075
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