Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions
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Abstract (arXiv)
This paper investigates the existing resource management approaches in Cloud Data Centres for energy and thermal efficiency. It identifies the need for integrated computing and cooling systems management and learning-based solutions in resource management systems. A taxonomy on energy and thermal efficient resource management in data centres is proposed based on an in-depth analysis of the literature. Furthermore, a detailed survey on existing approaches is conducted according to the taxonomy and recent advancements including machine learning-based resource management approaches and cooling management technologies are discussed.
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References · 10
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- 2020Thermal Prediction for Efficient Energy Management of Clouds using Machine Learningcited by 4
- 2017A Taxonomy and Future Directions for Sustainable Cloud Computing: 360 Degree Viewcited by 2
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