Deep Reinforcement Learning for Edge Service Placement in Softwarized Industrial Cyber-Physical System.
- DOI
- 10.1109/tii.2020.3041713
- Published
- 2021-08-01
- Container
- IEEE Trans Industr Inform
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1109/tii.2020.3041713,
title = {Deep Reinforcement Learning for Edge Service Placement in Softwarized Industrial Cyber-Physical System.},
author = {Hao Y and Chen M and Gharavi H and Zhang Y and Hwang K.},
year = {2021},
journal = {IEEE Trans Industr Inform},
doi = {10.1109/tii.2020.3041713},
url = {https://doi.org/10.1109/tii.2020.3041713}
}RIS
TY - JOUR TI - Deep Reinforcement Learning for Edge Service Placement in Softwarized Industrial Cyber-Physical System. AU - Hao Y AU - Chen M AU - Gharavi H AU - Zhang Y AU - Hwang K. PY - 2021 JO - IEEE Trans Industr Inform DO - 10.1109/tii.2020.3041713 UR - https://doi.org/10.1109/tii.2020.3041713 ER -
APA
Y, H., M, C., H, G., Y, Z., & K., H. (2021). Deep Reinforcement Learning for Edge Service Placement in Softwarized Industrial Cyber-Physical System.. IEEE Trans Industr Inform. https://doi.org/10.1109/tii.2020.3041713
Source records
- europe-pmc · retrieved 2026-11-10T14:53:35.244Z