Performance Evaluation of Xen, KVM, and Proxmox Hypervisors

Author:

Algarni Sultan Abdullah1,Ikbal Mohammad Rafi2,Alroobaea Roobaea3,Ghiduk Ahmed S3,Nadeem Farrukh4

Affiliation:

1. Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

2. King Abdulaziz University, Jeddah, Saudi Arabia

3. College of Computers and Information Technology, Taif University, Ta'if, Saudi Arabia

4. Department of Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia

Abstract

Hardware virtualization plays a major role in IT infrastructure optimization in private data centers and public cloud platforms. Though there are many advancements in CPU architecture and hypervisors recently, but overhead still exists as there is a virtualization layer between the guest operating system and physical hardware. This is particularly when multiple virtual guests are competing for resources on the same physical hardware. Understanding performance of a virtualization layer is crucial as this would have a major impact on entire IT infrastructure. This article has performed an extensive study on comparing the performance of three hypervisors KVM, Xen, and Proxmox VE. The experiments showed that KVM delivers the best performance on most of the selected parameters. Xen excels in file system performance and application performance. Though Proxmox has delivered the best performance in only the sub-category of CPU throughput. This article suggests best-suited hypervisors for targeted applications.

Publisher

IGI Global

Subject

Software

Reference26 articles.

1. AL-Mukhtar, M. M., & Mardan, A. A. A. (2014). Performance evaluation of private clouds Eucalyptus versus CloudStack. International Journal of Advanced Computer Science and Applications, 5(5), 108-117.

2. Alasir. (2017, June). RAMspeed, a cache and memory benchmark. Retrieved from http://alasir.com/software/ramspeed/

3. Amazon. (2017, June). Elastic compute cloud (EC2): Cloud server and hosting. Retrieved from https://aws.amazon.com/ec2/

4. Apache. (2017, June). Apache CloudStack: Open source cloud computing. Retrieved from https://cloudstack.apache.org/

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. File System Performance Comparison with Xen and Proxmox as Type-1 Linux-Based Hypervisors;2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN);2024-06-03

2. Impact of Different Hypervisor Versions on the File System Performance: Case Study with VirtualBox;2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH);2024-03-20

3. Performance comparison of different hypervisor versions of the type-2 hypervisor VirtualBox;2023 10th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN);2023-06-05

4. Network Performance Evaluation Between Virtual/Native Nodes Running on ARM-based SBCs Using KVM as Hypervisor;Proceedings of the 2023 ACM Southeast Conference;2023-04-12

5. Guest file system behavior for type-2 hypervisor-based virtualization in VMware Workstation;2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH);2023-03-15

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3