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基于目标矩阵的CPU热点可持续冷却模型

Sustainable Cooling Method of CPU Hot Spot Based on Target Matrix
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摘要 为了解决CPU发热导致的自身过热问题,很多学者都提出了各自的CPU降温模型,以实现绿色节能。在已有的热量循环利用模型的基础上,定量分析了CPU热点可持续冷却模型成立的数学条件,建立了CPU降温过程中基于温度变化的目标热量矩阵模型,通过实验分析了热点区域的温度变化等特征,并验证了该数学关系模型的正确性;在比较已有热量循环利用模型的基础上,进一步提出了考虑系统自身散热因素的可持续冷却模型,该模型能够利用所提出的目标热量矩阵进行验证。实验表明,所提出的考虑自身散热的可持续冷却模型的冷却效率提高了0.937%。 In order to solve the CPU overheating problems,many scholars have proposed their own CPU cooling models to achieve energy saving.Based on the previous model of heat cycling,this paper quantitatively analyzed the mathematical conditions of the establishment of the CPU hotspot sustainable cooling model,established the target heat matrix model based on the temperature change during the CPU cooling process,analyzed the temperature change of the hot spot, and verified the correctness of the mathematical relation model.On the basis of comparing the previous models of heat recovery,a cooling model considering the self-heating factor of the system was proposed,which can be carried out by using our proposed target heat matrix.The experimental results show that the cooling efficiency of the cooling model is 0.937%.
作者 颜兵情 袁景凌 陈旻骋 刘东领 江涛 YAN Bing-qing;YUAN Jing-ling;CHEN Min-cheng;LIU Dong-ling;JIANG Tao(College of Computer Science and Technology,Wuhan University of Technology,Wuhan 430070,China;Hubei Key Laboratory of Transportation Internet of Things,Wuhan 430070,China)
出处 《计算机科学》 CSCD 北大核心 2019年第4期329-333,共5页 Computer Science
基金 国家自然科学基金(61303029) 湖北省创新群体项目(2017CFA012) 湖北省技术创新专项重大项目(2017AAA122)资助
关键词 CPU热点 目标热量矩阵 可持续冷却模型 系统自身散热因素 CPU hot spot Target heat matrix Sustainable cooling model Self-cooling factor of system
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  • 1Yun D, Lee J. Research in green network for future Inter- net. Journal of KIISE, 2010, 28(1): 41-51.
  • 2Andrew L L, Lin M, Wierman A. Optimality, fairness, and robustness in speed sealing designs//Proceedings of the ACM International Conference on Measurement and Modeling of International Computer Systems (SIGMETRICS 2010). New York, USA, 2010:1 -12.
  • 3Rao Lei, Liu Xue, Xie Le. Minimizing electricity cost: Opti- mization of distributed Internet data centers in a multi- electricity-market environment//Proeeedings of the 29th IEEE Conference on Computer Communications (INFOCOM' 10). San Diego, USA, 2010:1-9.
  • 4Garg S, Yeob Chee Shin, Buyya Rajkumar. Environment- conscious scheduling of HPC applications on distributed Cloud-oriented data centers. Journal of Parallel and Distributed Computing, 2011, 71(6): 732-749.
  • 5Zhang Qi, Zhu Quanyan, Boutaba Raouf. Dynamic resource allocation for spot markets in cloud computing environ- ments//Proceedings of the 4th IEEE/ACM International Conference on Utility and Cloud Computing. Victoria, Australia, 2011:178-185.
  • 6Le6n Xavier, Navarro Leandro. Limits of energy saving for the allocation of data center resources to networked appliea- tions//Proeeedings of the 30th IEEE Conference on Computer Communications (INFOCOM' 11 ). Barcelona, Spain, 2011 : 216-220.
  • 7Le Kien, Zhang Jingru, Meng Jiandong. Reducing electricity cost through virtual machine placement in high performance computing clouds//Proceedings of the 2011 International Conference for High Performance Computing, Networking, Storage and Analysis. Seattle, USA, 2011:1-12.
  • 8Macias Mario, Guitart Jordi. A genetic model for pricing in cloud computing markets//Proceedings of the 2011 ACM Symposium on Applied Computing. New York, USA, 2011: 113-118.
  • 9Shang Shifeng, Wu Yongwei, Wang Bo. An intelligent capacity planning model for cloud market. Journal of Internet Services and Information Security, 2011, 71(6): 37-45.
  • 10Wang Hongyi, Jing Qingfeng. Distributed systems meet eco- nomies Pricing in the cloud//Proeeedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing. Berkeley, USA, 2011:1-6.

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