Abstract | ||
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With the popularity of virtualization, the problem that how to manage hundreds even thousands of virtual machines running on multiple physical computing nodes becomes important. Current virtual machine management systems only can obtain basic information of virtual machines and execute simple operations on them, such as start, reboot and shutdown. In this paper, we design a virtual machine management approach based on agent service. Agent service can provide detail running status information inside virtual machines. It also has been a bridge for host machines and virtual machines to interact with each other. Agent service is designed to automatically start when virtual machine boots up. By agent service we can get real-time information about virtual machines. We evaluate monitoring overhead and the performance of batch operations when using agent. The experimental results show that agent mechanism outperforms methods using Libvirt or VMware tools. |
Year | DOI | Venue |
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2010 | 10.1109/PDCAT.2010.61 | PDCAT |
Keywords | Field | DocType |
physical computing nodes,real-time information,virtualization,basic information,virtual machine,virtual machine management system,agent service,virtual machines,agent,virtual machine boot,virtual machine management,agent mechanism,virtual machine management approach,host machine,virtualisation,current virtual machine management,batch operation,status information,data collection,software agents,management system,real time,hardware,servers,operating systems,maintenance engineering | Virtualization,Reboot,Virtual machine,Temporal isolation among virtual machines,Computer science,Server,Software agent,Real-time computing,Full virtualization,Virtual finite-state machine,Operating system,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-0-7695-4287-4 | 1 | 0.40 |
References | Authors | |
4 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Song Wu | 1 | 278 | 28.91 |
Li Deng | 2 | 12 | 4.32 |
Hai Jin | 3 | 6544 | 644.63 |
Xuanhua Shi | 4 | 571 | 57.87 |
Yankun Zhao | 5 | 3 | 1.53 |
Wei Gao | 6 | 32 | 2.45 |
Jianyin Zhang | 7 | 19 | 3.30 |
Jin Peng | 8 | 67 | 9.04 |