EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments
- DOI
- 10.1038/s41598-025-96974-9
- Published
- 2025-04-10
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-96974-9,
title = {EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments},
author = {Asfandyar Khan and Faizan Ullah and Dilawar Shah and Muhammad Haris Khan and Shujaat Ali and Muhammad Tahir},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-96974-9},
url = {https://doi.org/10.1038/s41598-025-96974-9}
}RIS
TY - JOUR TI - EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments AU - Asfandyar Khan AU - Faizan Ullah AU - Dilawar Shah AU - Muhammad Haris Khan AU - Shujaat Ali AU - Muhammad Tahir PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-96974-9 UR - https://doi.org/10.1038/s41598-025-96974-9 ER -
APA
Khan, A., Ullah, F., Shah, D., Khan, M. H., Ali, S., & Tahir, M. (2025). EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments. Scientific Reports. https://doi.org/10.1038/s41598-025-96974-9
Source records
- crossref · retrieved 2026-09-26T06:40:41.262Z