Thermal prediction for energy management of clouds using a hybrid model based on CNN and stacking multi-layer bi-directional LSTM
The fast advancement of technology and developers’ utilization of data centers have dramatically increased energy usage in today’s society. Thermal control is a key issue in hyper-scale cloud data centers. Hotspots form when the temperature of the host rises, increasing cooling costs and affecting d...
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| Главные авторы: | , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier
2023-12-01
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| Серии: | Energy Reports |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2352484723000318 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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