Cost-aware live migration of services in the cloud
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Performance and energy modeling for live migration of virtual machines
Proceedings of the 20th international symposium on High performance distributed computing
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Enhancing the performance of high availability lightweight live migration
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Remedy: network-aware steady state VM management for data centers
IFIP'12 Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part I
Resource availability based performance benchmarking of virtual machine migrations
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nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
A quantitative study of virtual machine live migration
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
Service level management for iterative pre-copy live migration
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Performance and energy modeling for live migration of virtual machines
Cluster Computing
COMMA: coordinating the migration of multi-tier applications
Proceedings of the 10th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
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With the ability to move virtual machines between physical hosts, live migration is a core feature of virtualisation. However for migration to be useful, deployable feature on a large (datacentre) scale, we need to predict migration times with accuracy. In this paper, we characterise the parameters affecting live migration with particular emphasis on the Xen virtualisation platform. We discuss the relationships between the important parameters that affect migration and highlight how migration performance can vary considerably depending on the workload. We further provide 2 simulation models that are able to predict migration times to within 90% accuracy for both synthetic and real-world benchmarks.