Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (10): 59-65.doi: 10.11896/jsjkx.210800103

• High Perfonnance Computing • Previous Articles     Next Articles

CPU Power Model for ARM Architecture Cloud Servers

JIN Yu-yan1, YU Tian-hao1, WANG Song-bo1, LIN Wei-wei1,3, PAN Yu-cong2   

  1. 1 School of Computer Science and Engineering,South China University of Technology,Guangzhou 510641,China
    2 Guangdong Science and Technology Infrastructure Center,Guangzhou 510033,China
    3 Pengcheng Laboratory,Shenzhen,Guangdong 518066,China
  • Received:2021-08-12 Revised:2022-03-02 Online:2022-10-15 Published:2022-10-13
  • About author:JIN Yu-yan,born in 1998,postgra-duate.Her main research interests include cloud computing,big data technology and resource scheduling.
    LIN Wei-wei,born in 1980,Ph.D,professor,is a senior member of China Computer Federation.His main research interests include cloud computing,big data technology and AI application technology.
  • Supported by:
    National Natural Science Foundation of China(62072187),Key-Area Research and Development Program of Guangdong Province(2021B0101420002),Guangdong Major Project of Basic and Applied Basic Research(2019B030302002),Guangzhou Science and Technology Plan(202007040002),Guangzhou Development Zone International Cooperation Project(2020GH10),Guangdong Provincial Key Laboratory of High Performance Computing and 2019 Project Funding and Major Key Project of PCL(PCL2012A09).

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Abstract: The power model of cloud server is one of the important contents of the research on the energy consumption optimization of cloud data center.The CPU power model is an important part of the power models of cloud servers.However,the existing CPU power models do not consider the CPU heterogeneity,such as lack of research on the CPU power model of ARM architecture cloud servers.Based on the investigation and analysis of existing ARM architecture CPU power models,this paper proposes a new CPU power model oriented to the ARM architecture,namely the hybrid based model(HBM).HBM comprehensively considers modeling features such as CPU utilization and CPU performance events.Compared with existing PMC based model with high measurement accuracy,HBM has similar measurement accuracy and lower model training cost.Thus,HBM is more suitable for CPU power modeling of ARM servers.This paper uses the Sysbench benchmark to verify HBM,and experimental results show that the mean relative error(MRE) of HBM is within 1%,which means HBM has high measurement accuracy.Cross-experiments are also conducted for x86 and ARM architecture servers.,and experimental results show that the CPU power beha-viors of servers with different architectures are not the same,thus different CPU power modeling methods should be used.

Key words: Energy consumption optimization, Power model, CPU heterogeneity, ARM architecture

CLC Number: 

  • TP393
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