Optimization of dynamic admission control for preemptible cloud services based on TPD-SAC reinforcement learning

Jing Jin, Yan Cheng

Open source

DOI
10.1186/s13677-026-00979-2
Published
2026-09-02
Container
Journal of Cloud Computing
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1186/s13677-026-00979-2,
  title = {Optimization of dynamic admission control for preemptible cloud services based on TPD-SAC reinforcement learning},
  author = {Jing Jin and Yan Cheng},
  year = {2026},
  journal = {Journal of Cloud Computing},
  doi = {10.1186/s13677-026-00979-2},
  url = {https://doi.org/10.1186/s13677-026-00979-2}
}

RIS

TY  - JOUR
TI  - Optimization of dynamic admission control for preemptible cloud services based on TPD-SAC reinforcement learning
AU  - Jing Jin
AU  - Yan Cheng
PY  - 2026
JO  - Journal of Cloud Computing
DO  - 10.1186/s13677-026-00979-2
UR  - https://doi.org/10.1186/s13677-026-00979-2
ER  - 

APA

Jin, J., & Cheng, Y. (2026). Optimization of dynamic admission control for preemptible cloud services based on TPD-SAC reinforcement learning. Journal of Cloud Computing. https://doi.org/10.1186/s13677-026-00979-2

Source records