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Predicting the Performance of Virtual Machine Migration

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5 Author(s)
Akoush, S. ; Comput. Lab., Univ. of Cambridge, Cambridge, UK ; Sohan, R. ; Rice, A. ; Moore, A.W.
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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.

Published in:

Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2010 IEEE International Symposium on

Date of Conference:

17-19 Aug. 2010