Cloud Orchestration for Optimized Computing Efficiency: The Case of Wind Resource Modelling

Marios Touloupou, Evgenia Kapassa, Stamatia Rizou

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DOI: 10.1109/cloudnet55617.2022.9978809
Published: 2022-11-07
Container: 2022 IEEE 11th International Conference on Cloud Networking (CloudNet)
Publisher: IEEE
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/cloudnet55617.2022.9978809,
  title = {Cloud Orchestration for Optimized Computing Efficiency: The Case of Wind Resource Modelling},
  author = {Marios Touloupou and Evgenia Kapassa and Stamatia Rizou},
  year = {2022},
  journal = {2022 IEEE 11th International Conference on Cloud Networking (CloudNet)},
  doi = {10.1109/cloudnet55617.2022.9978809},
  url = {https://doi.org/10.1109/cloudnet55617.2022.9978809}
}

RIS

TY  - JOUR
TI  - Cloud Orchestration for Optimized Computing Efficiency: The Case of Wind Resource Modelling
AU  - Marios Touloupou
AU  - Evgenia Kapassa
AU  - Stamatia Rizou
PY  - 2022
JO  - 2022 IEEE 11th International Conference on Cloud Networking (CloudNet)
DO  - 10.1109/cloudnet55617.2022.9978809
UR  - https://doi.org/10.1109/cloudnet55617.2022.9978809
ER  -

APA

Touloupou, M., Kapassa, E., & Rizou, S. (2022). Cloud Orchestration for Optimized Computing Efficiency: The Case of Wind Resource Modelling. 2022 IEEE 11th International Conference on Cloud Networking (CloudNet). https://doi.org/10.1109/cloudnet55617.2022.9978809

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crossref · retrieved 2026-09-25T07:38:03.532Z