Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions
It addresses energy and thermal management challenges for cloud data center operators, but is incremental as it synthesizes existing work without new experimental results.
This paper reviews resource management approaches for energy and thermal efficiency in cloud data centers, proposing a taxonomy based on literature analysis and discussing recent advancements like machine learning and cooling technologies.
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.