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An analysis of live migration in openstack using high speed optical network

  • Ulster University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)
3 Downloads (Pure)

Abstract

Virtualisation technology has become a very common trend in modern datacentres as Virtual Machine (VM) migration brings several benefits like improved performance, high manageability, resource consolidation and fault tolerance. Live Migration (LM) of VMs is used for transferring a working VM from one host to another host of a different physical machine without interfering with the existing VMs. However, little research has been done in considering the real time resource consumption and latency of live VM migration that reduces these benefits to much less than their potential. In this paper, we present an analysis of LM in our unique TransAtlantic high speed optical fibre network connecting Northern Ireland, Dublin and Halifax (Canada). We show that the total migration times as well as total network data transfer for post-copy LM are both dominated by specific VM memory patterns using loaded or unloaded VMs. We also found that the downtime for different VM memory patterns is not extremely varied and no severe effect is experienced over our long distance network.

Original languageEnglish
Title of host publicationProceedings of 2016 SAI Computing Conference, SAI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1267-1272
Number of pages6
ISBN (Electronic)9781467384605
DOIs
Publication statusPublished - 1 Sept 2016
Event2016 SAI Computing Conference, SAI 2016 - London, United Kingdom
Duration: 13 Jul 201615 Jul 2016

Publication series

NameProceedings of 2016 SAI Computing Conference, SAI 2016

Conference

Conference2016 SAI Computing Conference, SAI 2016
Country/TerritoryUnited Kingdom
CityLondon
Period13/07/1615/07/16

Keywords

  • Cloud
  • Live Migration
  • Openstack
  • Optical Network
  • Virtual Machine

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Signal Processing
  • Modeling and Simulation

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