典型文献
Research Advances on AI-Powered Thermal Management for Data Centers
文献摘要：
Given the complex nature of data centers'thermal management,which costs too many resources,processing time,and energy consumption,thermal awareness and thermal management powered by artificial intelligence(Al)are the targeted study.In addition to a few research on Al techniques and models,other strategies have also been introduced in recent years.Data center models,including cooling,thermal,power,and workload models,and their relationship are factors that need to be understood in the optimal thermal management system.Simulation approaches have been proposed to help validate new models or methods used for scheduling and consolidating processes and virtual machines(VMs),hotspot identification,thermal state estimation,and power usage change.Al-powered thermal optimization leads to improved process scheduling and consolidation of VMs and eliminates the hotspot from happening.At present,research on Al-powered thermal control is still in its infancy.This paper concludes with four issues in thermal management,which will be the scope of further research.
文献关键词：
中图分类号：
作者姓名：
Hui Liu;AbdusSalam Aljbri;Jie Song;Jinqing Jiang;Chun Hua
作者机构：
School of Metallurgy,Northeastern University,Shenyang 110819,China;Software College,Northeastern University,Shenyang 110169,China;College of Computer Science and Technology,Inner Mongolia University for Nationalities,Tongliao 010021,China
文献出处：
引用格式：
[1]Hui Liu;AbdusSalam Aljbri;Jie Song;Jinqing Jiang;Chun Hua-.Research Advances on AI-Powered Thermal Management for Data Centers)[J].清华大学学报自然科学版（英文版）,2022(02):303-314
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B类：
Research,Advances,Powered,Thermal,Management,Data,Centers,Given,complex,nature,data,centers,thermal,management,which,costs,many,resources,processing,energy,consumption,awareness,powered,by,artificial,intelligence,targeted,study,In,addition,few,research,techniques,models,other,strategies,have,also,been,introduced,recent,years,including,cooling,workload,their,relationship,factors,that,need,understood,optimal,system,Simulation,approaches,proposed,help,validate,new,methods,used,scheduling,consolidating,processes,virtual,machines,VMs,hotspot,identification,state,estimation,usage,change,optimization,leads,improved,consolidation,eliminates,from,happening,At,present,control,still,its,infancy,This,paper,concludes,four,issues,will,scope,further
AB值：
0.64131
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