JOURNAL ARTICLE

A performance study of live VM migration technologies: VMotion vs XenMotion

Xiujie FengJianxiong TangXuan LuoYaohui Jin

Year: 2011 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 8310 Pages: 83101B-83101B   Publisher: SPIE

Abstract

Due to the growing demand of flexible resource management for cloud computing services, researches on live virtual machine migration have attained more and more attention1. Live migration of virtual machine across different hosts has been a powerful tool to facilitate system maintenance, load balancing, fault tolerance and so on. In this paper, we use a measurement-based approach to compare the performance of two major live migration technologies under certain network conditions, i.e., VMotion and XenMotion. The results show that VMotion generates much less data transferred than XenMotion when migrating identical VMs. However, in network with moderate packet loss and delay, which are typical in a VPN (virtual private network) scenario used to connect the data centers, XenMotion outperforms VMotion in total migration time. We hope that this study can be helpful in choosing suitable virtualization environments for data center administrators and optimizing existing live migration mechanisms.

Keywords:
Live migration Computer science Cloud computing Virtualization Virtual machine Data center Packet loss Distributed computing Fault tolerance Computer network Load balancing (electrical power) Network packet Operating system

Metrics

14
Cited By
2.99
FWCI (Field Weighted Citation Impact)
4
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Caching and Content Delivery
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
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