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Prediction-Based Optimization of Live Virtual Machine Migration

Abstract : Virtual Machine (VM) migration is an important technology to support Infrastructure as a Service (IaaS). Traditional pre-copy and post-copy strategies could function well in LAN but will need considerable time to migrate between remote hosts in WAN. In this paper, we propose a prediction-based strategy to optimize cloud VM migration process over WAN. In this strategy, information about size increments of snapshots is used to determine appropriate time points for migration in order to reduce the downtime during migration. Specifically, we utilize Markov Chain Model to predict the future increasing speed of snapshots. The experiments on KVM showed our approach could achieve satisfying results.
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https://hal.inria.fr/hal-01403102
Contributor : Hal Ifip <>
Submitted on : Friday, November 25, 2016 - 2:33:57 PM
Last modification on : Thursday, March 5, 2020 - 5:40:17 PM
Long-term archiving on: : Tuesday, March 21, 2017 - 12:07:52 PM

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Changyuan Chen, Jian Cao. Prediction-Based Optimization of Live Virtual Machine Migration. 11th IFIP International Conference on Network and Parallel Computing (NPC), Sep 2014, Ilan, Taiwan. pp.347-356, ⟨10.1007/978-3-662-44917-2_29⟩. ⟨hal-01403102⟩

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