  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.
