ARM架构云服务器的CPU功耗模型研究  

CPU Power Model for ARM Architecture Cloud Servers

作　　者：金育妍 余天豪 王松波 林伟伟[1,3] 潘宇聪 JIN Yu-yan;YU Tian-hao;WANG Song-bo;LIN Wei-wei;PAN Yu-cong(School of Computer Science and Engineering,South China University of Technology,Guangzhou 510641,China;Guangdong Science and Technology Infrastructure Center,Guangzhou 510033,China;Pengcheng Laboratory,Shenzhen,Guangdong 518066,China)

机构地区：[1]华南理工大学计算机科学与工程学院,广州510641 [2]广东省高性能计算重点实验室,广州510033 [3]鹏程实验室,广东深圳518066

出　　处：《计算机科学》2022年第10期59-65,共7页Computer Science

基　　金：国家自然科学基金(62072187);广东省重点研发计划(2021B0101420002);广东省基础与应用基础研究重大项目(2019B030302002);广州市科技计划(202007040002);广州市开发区国际合作项目(2020GH10);广东省高性能计算重点实验室2019年课题资助;鹏程实验室重大任务项目(PCL2012A09)。

摘　　要：云服务器的功耗模型是云数据中心能耗优化研究的重要内容之一。CPU功耗模型是云服务器功耗模型的重要组成部分,然而现有CPU功耗模型没有考虑CPU的异构性,如缺乏对ARM架构服务器CPU功耗模型的研究。在调研分析现有的ARM架构CPU功耗模型的基础上,提出了一种面向ARM架构的新CPU功耗模型——基于混合建模的CPU功耗模型(Hybrid Based Model, HBM)。该功耗模型综合考虑了CPU利用率和CPU性能事件等建模特征,相比现有的测算精度很高的基于性能计数器的CPU功耗模型,HBM的测算精度与其相近且模型训练成本更低,更适合ARM服务器的CPU功耗建模。文中使用Sysbench负载工具对所提HBM进行实验验证,实验结果表明,HBM的平均相对误差(MRE)在1%以内,具有良好的测算精度。此外,还针对x86和ARM架构服务器进行了交叉实验,实验结果表明不同架构服务器的CPU功耗行为相异,应当使用不同的CPU功耗建模方法。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.

关 键 词：能耗优化 功耗模型 CPU异构性 ARM架构 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]