Performance Evaluation of Hypervisors and the Effect of Virtual CPU on Performance

被引：6

作者：

Rahman, Hafiz Ur ^{[1
]}

Wang, Guojun ^{[1
]}

Chen, Jianer ^{[1
]}

Jiang, Hai ^{[2
]}

机构：

[1] Guangzhou Univ, Sch Comp Sci & Technol, Guangzhou 510006, Guangdong, Peoples R China

[2] Arkansas State Univ, Dept Comp Sci, State Univ, AR 72467 USA

来源：

2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI) | 2018年

基金：

中国国家自然科学基金;

关键词：

cloud computing; hypervisor; virtual CPU mapping; CPU utilization;

D O I：

10.1109/SmartWorld.2018.00146

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Organizations are adopting virtualization technology to reduce the cost while maximizing the productivity, flexibility, responsiveness, and efficiency. There are a variety of vendors for the virtualization environments, all of them claim that their virtualization hypervisor is the best in terms of performance. Furthermore, when a system administrator or a researcher want to deploy a virtual machine in a cloud environment, which vCPU-VM configuration is the best for better performance? In this paper, prior to evaluating the latest version of hypervisors (commercial and open source), the best virtual CPU to virtual machine (vCPU-VM) configuration as well as the effect of virtual CPUs on performance is analyzed for each hypervisor. We used Phoronix Test Suite (PTS) benchmarking tool as a traffic generator and analyzer. The results have shown that commercial and open source hypervisors have similar performance. As per our observation, the performance of a system would degrade by improper allocation of vCPUs to VMs, or when there is a massive over-allocation of vCPUs.

引用

下载

页码：772 / 779

页数：8

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