Paper Info
Title
Optimizing the live migration of virtual machine by CPU scheduling
Abstract
Live migration has been proposed to reduce the downtime for migrated VMs by pre-copying the generated run-time memory state files from the original host to the migration destination host. However, if the rate for such a dirty memory generation is high, it may take a long time to accomplish live migration because a large amount of data needs to be transferred. In extreme cases when dirty memory generation rate is faster than pre-copy speed, live migration will fail. In this work we address the problem by designing an optimization scheme for live migration, under which according to pre-copy speed, the VCPU working frequency may be reduced so that at a certain phase of the pre-copy the remaining dirty memory can reach a desired small amount. The VM downtime during the migration can be limited. The scheme works for the scenario where the migrated application has a high memory writing speed, or the pre-copy speed is slow, e.g., due to low network bandwidth between the migration parties. The method improves migration liveness at the cost of application performance, and works for those applications for which interruption causes much more serious problems than quality deterioration. Compared to the original live migration, our experiments show that the optimized scheme can reduce up to 88% of application downtime with an acceptable overhead.
Year
DOI
Venue
2011
10.1016/j.jnca.2010.06.013
J. Network and Computer Applications
Keywords
DocType
Volume
dirty memory generation,migration party,pre-copy speed,original live migration,virtual machine,dirty memory generation rate,Dirty rate,migration liveness,Live virtual machine migration,high memory,migration destination host,remaining dirty memory,CPU scheduling,Pre-copy algorithm,live migration
Journal
34
Issue
ISSN
Citations 
4
Journal of Network and Computer Applications
27
PageRank 
References 
Authors
0.95
15
6
Name
Order
Citations
PageRank
Hai Jin16544644.63
Wei Gao2322.45
Song Wu327828.91
Xuanhua Shi457157.87
Xiaoxin Wu547538.35
Fan Zhou6270.95