Abstract | ||
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Commodity operating systems have already gained functionality of virtual machine monitor. Nested virtualization is needed to run these commodity operating systems as virtual machines. Furthermore, with nested virtualization technology, users can run a self-configured virtual machine monitor (VMM) in Infrastructure as a Service (IaaS) cloud computing model, and live migration of VMM can be realized with the help of nested virtualization. In this paper, we present a new VMM nOSV, based on OSV VMM. nOSV is a lightweight VMM and can host multiple Xen VMMs, with little runtime overhead. Compared to traditional nested virtualization VMM, i) its performance overhead is significant low, ii) and with verified interfaces provided by OSV, nOSV is more robust and secure. The performance overhead of nOSV is less than 4%. With dedicated devices allocation policy, guest Xen VMM has a comparable network performance to Xen on bare metal. |
Year | DOI | Venue |
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2013 | 10.1109/WISA.2013.82 | IEEE WISA |
Keywords | Field | DocType |
nested virtualization,reliable nested virtualization vmm,new vmm nosv,dedicated devices allocation policy,performance overhead,infrastructure as a service,lightweight vmm,guest xen vmm,virtual machines,commodity operating systems,operating systems (computers),nested virtualization technology,low overhead,osv vmm,self-configured virtual machine monitor,comparable network performance,virtualisation,low overhead nested virtualization vmm,vmm nosv,operating system,iaas cloud computing model,virtual machine monitor,traditional nested virtualization,cloud computing,commodity operating system | Virtualization,Kernel (linear algebra),Virtual machine,Live migration,Computer science,Hypervisor,Nested virtualization,Operating system,Network performance,Cloud computing | Conference |
ISBN | Citations | PageRank |
978-1-4799-3218-4 | 0 | 0.34 |
References | Authors | |
11 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xuan Yu | 1 | 98 | 7.49 |
Yong Qi | 2 | 610 | 59.72 |
Yuehua Dai | 3 | 200 | 14.61 |
Jianbao Ren | 4 | 23 | 4.17 |
Xiaoguang Wang | 5 | 44 | 5.58 |
Yi Shi | 6 | 26 | 4.56 |