| Autor: |
JIN Yu-yan, YU Tian-hao, WANG Song-bo, LIN Wei-wei, PAN Yu-cong |
| Jazyk: |
čínština |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Jisuanji kexue, Vol 49, Iss 10, Pp 59-65 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1002-137X |
| DOI: |
10.11896/jsjkx.210800103 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
