Live Migration of Virtual Machines using Mirroring Technique
R. Ezhilarasie, Arvind Venkatesa Subramanian, A. Umamakeswari
Abstract
Open-access reader
R. Ezhilarasie, Arvind Venkatesa Subramanian, A. Umamakeswari
Abstract
Open-access reader
Virtualization is a key concept in empowering the “Infrastructure as- a-Service (IaaS)” of cloud-based services. Live migration of virtual machines is the process of moving virtual machine from one physical host to another without interrupting other VMs. Migration of VMs supports the improved efficiency of resource usage and dynamic resource provision capabilities. The performance metrics of live migration are down time and total migration time. In this paper, a technique to reduce the total migration time of standard memory migration using the mirroring of VMs at destination host is proposed. It mainly concentrates on the total migration time and maximum profit of providers. The proposed technique avoids the iterative transmission of memory pages from the source host to destination host. Performance results depict that the proposed algorithm can reduce 36% of the data transmitted during migration and 26% of the total migration time when compared with pre-copy migration technique.
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Virtualization is a key concept in empowering the “Infrastructure as- a-Service (IaaS)” of cloud-based services. Live migration of virtual machines is the process of moving virtual machine from one physical host to another without interrupting other VMs. Migration of VMs supports the improved efficiency of resource usage and dynamic resource provision capabilities. The performance metrics of live migration are down time and total migration time. In this paper, a technique to reduce the total migration time of standard memory migration using the mirroring of VMs at destination host is proposed. It mainly concentrates on the total migration time and maximum profit of providers. The proposed technique avoids the iterative transmission of memory pages from the source host to destination host. Performance results depict that the proposed algorithm can reduce 36% of the data transmitted during migration and 26% of the total migration time when compared with pre-copy migration technique.
Key concepts: Live migration, Computer science, Virtual machine, Host (biology), Virtualization, Cloud computing, Mirroring, Distributed computing