Enabling scalable cloud infrastructure using autonomous VM migration

Document Type

Conference Proceeding

Publication Date

12-7-2012

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. © 2012 IEEE.

Identifier

84870400029 (Scopus)

ISBN

[9780769547497]

Publication Title

Proceedings 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

External Full Text Location

https://doi.org/10.1109/HPCC.2012.156

First Page

1066

Last Page

1073

This document is currently not available here.

Share

COinS