人工智能技术在云计算数据中心能量管理中的应用与展望

Application and Prospect of Artificial Intelligence Technology in Energy Management and Optimization for Cloud Computing Data Center

云计算数据中心是重要的电力用户,其消耗电量随着互联网发展和国家数字化建设快速增加,对数据中心进行能量管理和优化是绿色经济必然要求。该文主要探讨人工智能技术在云计算数据中心能量管理和优化中的应用,介绍了深度学习、深度强化学习和知识图谱等新一代人工智能研究热点,提出了一个跨层的数据中心能耗感知和精确能量管理框架,梳理比较了机房、设备、云计算平台、业务系统和数据中心5个层面的能量管理和优化技术,总结分析了当前存在的不足和挑战,展望了未来新一代人工智能技术在云计算数据中心研究和应用趋势。

Cloud computing data center is the important electricity user. Its power consumption increases rapidly with the development of Internet and national digital construction. Energy management and optimization of data center is a necessary for green economy. This paper mainly discussed the application of artificial intelligence technology in the energy management and optimization for cloud computing data center. The paper introduced research hotspots of new artificial intelligence, such as deep learning, deep reinforcement learning, and knowledge graph, proposed a framework of cross layer data center energy aware and accurate energy management, and compared energy management and optimization technologies at five levels of computer room, equipment, cloud computing platform, business system, and data center. Finally, the paper summarized and analyzed the existing deficiencies and challenges, and discussed the future trends of research and application of new artificial intelligence technology in cloud computing data center energy management.