Computer Science ›› 2015, Vol. 42 ›› Issue (1): 67-70.doi: 10.11896/j.issn.1002-137X.2015.01.015

Previous Articles     Next Articles

Performance Optimization and Application of KVM in HEP Computing Environment

HUANG Qiu-lan, LI Sha, CHENG Yao-dong and CHEN Gang   

  • Online:2018-11-14 Published:2018-11-14

Abstract: High Energy physics computing is a high-performance computing application,which highly requires computing power,and CPU utilization directly affects the computational efficiency of high-energy physics.Virtualization technology has demonstrated a great advantage in achieving high utilization of resources and resource sharing.This paper gave performance testing and optimization of KVM.Firstly,we showed testing results and quantitative analysis of performance between KVM and physical machines in aspect of CPU,disk IO and network IO.Then,we demonstrated various factors in hardware level and kernel level that affect the performance of KVM through the architecture of KVM virtual machine,including EPT (Extended Page Tables) and CPU affinity which are optimized for KVM.Experiment results show the penalty of CPU performance for KVM can be decreased to about 3%.Finally,virtual cluster of high ener-gy computing was shown and the performance of virtual cluster can meet the needs of high energy physics computing.

Key words: HPC,KVM,CPU affinity,Extended page table

[1] Zhang Yang,Chen Wen-bo,Li Lian,et al.Analysis and Implementation of TORQUE:A High-Performance Cluster Job Management System[J].Computer Engineering & Science,2007,10:42
[2] Frey J,Tannenbaum T,Livny M,et al.Condor-G:A Computation Management Agent for Multi-Institutional Grids[J].Cluster Computing,2002,5(3):237-246
[3] Etsion Y, Tsafrir D.A Short Survey of Commercial ClusterBatch Schedulers [J].School of Computer Science and Engineering, The Hebrew University of Jerusalem,2005(13):1-4
[4] Kamay K Y,Laor D,Lublin U.Kvm the Linux virtual machine monitor[C]∥Proceedings of the Linux.2007:225-230
[5] Gepner P,Kowalik M F.Multi-core Processors:New Way toAchieve High System Performance[C]∥Proceeding of the In-ternational Symposium on Parallel Computing in Electrical Engineering.2006:9-13
[6] Guo Zhao-liang,Hao Qin-fen.Optimization of KVM NetworkBased on CPU Affinity on Multi-cores[J].International Conference of Information Technology,Computer Engineering and Management Sciences,2011,4:347-351
[7] HEPSPEC06 benchmark.http://w3.hepix.org/bench-mar-ks/doku.php/
[8] 陈和生,张闯,李卫国.北京正负电子对撞机重大改造工程[J].工程研究-跨学科视野中的工程,2009,1(3):275-281
[9] 郝慧峰.大亚湾反应堆中微子试验中基于VME的RPC电子学研制[D].合肥:中国科技大学,2012
[10] 张朝鹏.基于Intel-VT 处理器的虚拟机内存虚拟化的实现和优化[J].应用科技,2009,123:143-144
[11] 李勇,郭玉东,王晓睿,等.基于EPT的内存虚拟化研究与实现[J].计算机工程与设计,2010,1(18):4101-4104

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!