Enabling scalable cloud infrastructure using autonomous VM migration

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

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

1 Scopus citations

Abstract

Service providers and enterprises capitalize on evolving cloud computing technologies when building datacenters for their own computing infrastructure and/or for providing services to others. Virtual machines and their migration are an important underlying technology of Infrastructure as a Service (IaaS) for building efficient cloud computing infrastructure on a cluster of servers. Autonomous migration of virtual machines is designed to increase the overall resource utilization on a cluster of servers. If a particular computing pattern caused imbalance that triggers migration, this pattern will be remembered or "learned" with its corresponding migration details for future use. In this paper, we use a proactive learning methodology that not only accumulates the past history of computing patterns and resulting migration decisions but more importantly searches all predefined possibilities for the most suitable decisions. 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 self regulated autonomous VM migration increases resource utilization of the servers on which cloud computing IaaS is currently running.

Original languageEnglish (US)
Title of host publicationProceedings of the 14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012
Pages1066-1073
Number of pages8
DOIs
StatePublished - 2012
Event14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012 - Liverpool, United Kingdom
Duration: Jun 25 2012Jun 27 2012

Publication series

NameProceedings of the 14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012

Other

Other14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012
Country/TerritoryUnited Kingdom
CityLiverpool
Period6/25/126/27/12

All Science Journal Classification (ASJC) codes

  • Software

Keywords

  • autononous migration
  • cloud computing
  • proactive learning
  • virtual machines

Fingerprint

Dive into the research topics of 'Enabling scalable cloud infrastructure using autonomous VM migration'. Together they form a unique fingerprint.

Cite this