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Performance implications of resource over-allocation during the live migration
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
2017 (English)In: Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom, IEEE Computer Society, 2017, 552-557 p.Conference paper (Refereed)
Abstract [en]

As the number of cloud users are increasing, it becomes essential for cloud service providers to allocate the right amount of resources to virtual machines, especially during live migration. In order to increase the resource utilization and reduce waste, the providers have started to think about the role of over-allocating the resources. However, the benefits of over-allocations are not without inherent risks. In this paper, we conducted an experiment using a large telecommunication application that runs inside virtual machines, here we have varied the number of vCPU resources allocated to these virtual machines in order to find the best choice which at the same time reduces the risk of underallocating resources after the migration and increases the performance during the live migration. During our measurements we have used VMware's vMotion to migrate virtual machines while they are running. The results of this study will help virtualized environment service providers to decide how much resources should be allocated for better performance during live migration as well as how much resource would be required for a given load.

Place, publisher, year, edition, pages
IEEE Computer Society, 2017. 552-557 p.
Keyword [en]
live migration, over-allocation, performance, virtualization, vmware, Cloud computing, Network security, Virtual reality, Cloud service providers, Live migrations, Resource utilizations, Telecommunication applications, Virtualized environment, Virtual machine
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-13962DOI: 10.1109/CloudCom.2016.0096ScopusID: 2-s2.0-85012981838ISBN: 9781509014453 (electronic)OAI: oai:DiVA.org:bth-13962DiVA: diva2:1078182
Conference
8th IEEE International Conference on Cloud Computing Technology and Science, CloudCom, Luxembourg
Available from: 2017-03-02 Created: 2017-03-02 Last updated: 2017-03-07Bibliographically approved

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Shirinbab, SogandLundberg, Lars
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf