Autonomous learning for efficient resource utilization of dynamic VM migration

Hyung Won Choi, Hukeun Kwak, Andrew Sohn, Kyusik Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

35 Scopus citations


Dynamic migration of virtual machines on a cluster of physical machines is designed to maximize resource utilization by balancing loads across the cluster. When the utilization of a physical machine is beyond a fixed threshold, the machine is deemed overloaded. A virtual machine is then selected within the overloaded physical machine for migration to a lightly loaded physical machine. Key to such threshold-based VM migration is to determine when to move which VM to what physical machine, since wrong or inadequate decisions can cause unnecessary migrations that would adversely affect the overall performance. We present in this paper a learning framework that autonomously finds and adjusts thresholds at runtime for different computing requirements. Central to our approach is the previous history of migrations and their effects before and after each migration in terms of standard deviation of utilization. We set up an experimental environment that consists of extensive real world benchmarking problems and a cluster of 16 physical machines each of which has on average eight virtual machines. We demonstrate through experimental results that our approach autonomously finds thresholds close to the optimal ones for different computing scenarios and that such varying thresholds yield an optimal number of VM migrations for maximizing resource utilization.

Original languageEnglish (US)
Title of host publicationICS'08 - Proceedings of the 2008 ACM International Conference on Supercomputing
Number of pages10
StatePublished - 2008
Event22nd ACM International Conference on Supercomputing, ICS'08 - Island of Kos, Greece
Duration: Jun 7 2008Jun 12 2008

Publication series

NameProceedings of the International Conference on Supercomputing


Other22nd ACM International Conference on Supercomputing, ICS'08
CityIsland of Kos

All Science Journal Classification (ASJC) codes

  • General Computer Science


  • Linux cluster
  • OS migration
  • Resource utilization
  • Virtual machines
  • Virtualization


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