Efficiency and optimization of government service resource allocation in a cloud computing environment.

Guo YG, Yin Q, Wang Y, Xu J, Zhu L

DOI: 10.1186/s13677-023-00400-2
Published: 2023
Container: Journal of cloud computing (Heidelberg, Germany)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s13677-023-00400-2,
  title = {Efficiency and optimization of government service resource allocation in a cloud computing environment.},
  author = {Guo YG and Yin Q and Wang Y and Xu J and Zhu L},
  year = {2023},
  journal = {Journal of cloud computing (Heidelberg, Germany)},
  doi = {10.1186/s13677-023-00400-2},
  url = {https://doi.org/10.1186/s13677-023-00400-2}
}

RIS

TY  - JOUR
TI  - Efficiency and optimization of government service resource allocation in a cloud computing environment.
AU  - Guo YG
AU  - Yin Q
AU  - Wang Y
AU  - Xu J
AU  - Zhu L
PY  - 2023
JO  - Journal of cloud computing (Heidelberg, Germany)
DO  - 10.1186/s13677-023-00400-2
UR  - https://doi.org/10.1186/s13677-023-00400-2
ER  -

APA

YG, G., Q, Y., Y, W., J, X., & L, Z. (2023). Efficiency and optimization of government service resource allocation in a cloud computing environment.. Journal of cloud computing (Heidelberg, Germany). https://doi.org/10.1186/s13677-023-00400-2

Source records

pubmed · retrieved 2026-09-26T08:17:57.703Z
europe-pmc · retrieved 2026-09-26T08:17:57.718Z