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.
翻译:本文件调查云数据中心在能源和热效率方面的现有资源管理办法,确定在资源管理系统中需要综合计算和冷却系统管理和基于学习的解决办法,根据对文献的深入分析,提议在数据中心对能源和热效率资源管理进行分类,此外,还根据分类和最近的进展,包括机械学习资源管理办法和冷却管理技术,对现有办法进行详细调查。