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Virtual Network Function Placement: Towards Minimizing Network Latency and Lead Time
University of Sydney, Australia.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-9194-010X
University of Sydney, Australia.
China University of Geosciences, P. R. China.
2017 (English)In: 2017 9TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE, IEEE, 2017, p. 90-97Chapter in book (Refereed)
Abstract [en]

Network Function Virtualization (NFV) is an emerging network architecture to increase flexibility and agility within operator's networks by placing virtualized services on demand in Cloud data centers (CDCs). One of the main challenges for the NFV environment is how to efficiently allocate Virtual Network Functions (VNF) to Virtual Machines (VMs). Although a significant amount of work/research has been already conducted for the generic VNF placement problem, network latency among various network components has not been comprehensively considered yet. To address this concern, in this article, we design a more comprehensive model based on real measurements to capture network latency among VNFs with more granularity to optimize placement of VNFs in CDCs. Experimental results are promising and indicate that our approach, namely VNF Low-Latency Placement (VNF-LLP), can reduce network latency by up to 64.24% (50.33% in average) compared with two generic algorithms. Furthermore, it has a lower lead time (time to find a suitable VM to host a VNF) as compared with two classic approaches.

Place, publisher, year, edition, pages
IEEE, 2017. p. 90-97
Series
International Conference on Cloud Computing Technology and Science, ISSN 2330-2194
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-66938DOI: 10.1109/CloudCom.2017.12ISI: 000427727800012ISBN: 978-1-5386-0692-6 (print)OAI: oai:DiVA.org:kau-66938DiVA, id: diva2:1195822
Conference
9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom), DEC 11-14, 2017, Hong Kong Polytechn Univ, Dept Comp, Hong Kong, HONG KONG
Available from: 2018-04-06 Created: 2018-04-06 Last updated: 2018-06-26Bibliographically approved

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Taheri, Javid

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