Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
Fast transparent migration for virtual machines
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
IBM POWER6 partition mobility: moving virtual servers seamlessly between physical systems
IBM Journal of Research and Development
pMapper: power and migration cost aware application placement in virtualized systems
Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware
High performance virtual machine migration with RDMA over modern interconnects
CLUSTER '07 Proceedings of the 2007 IEEE International Conference on Cluster Computing
Post-copy live migration of virtual machines
ACM SIGOPS Operating Systems Review
Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Efficient resource provisioning in compute clouds via VM multiplexing
Proceedings of the 7th international conference on Autonomic computing
The cost of reconfiguration in a cloud
Proceedings of the 11th International Middleware Conference Industrial track
Agile, efficient virtualization power management with low-latency server power states
Proceedings of the 40th Annual International Symposium on Computer Architecture
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Live virtual machine (VM) migration is a technique for transferring an active VM from one physical host to another without disrupting the VM. In principle, live VM migration enables dynamic resource requirements to be matched with available physical resources, leading to better performance and reduced energy consumption. However, in practice, the resource consumption and latency of live VM migration reduce these benefits to much less than their potential. We demonstrate how these overheads can be substantially reduced, enabling live VM migration to fulfill its promise. Specifically, we first experimentally study several factors that contribute to the resource consumption and latency of live VM migration, including workload characteristics, the hypervisor and migration configuration, and the available system and network resources. Then, from the insights gained, we propose an alternative remote direct memory access-based migration technique that significantly reduces VM migration overheads. Finally, via simulation and experiments with real system prototypes, we demonstrate that the reduced VM migration overhead results in significant improvements in resource and energy efficiencies, relative to existing migration techniques.