SDN-based optimal traffic engineering for cellular networks with service chaining

Rung-Hung Gau, Pei Kan Tsai

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

5 Scopus citations

Abstract

In this paper, we propose using software-defined networking technologies for optimal traffic engineering in cellular networks with service chaining. We study the case in which virtual machines are used to support network services and each flow requires multiple network services. To minimize the maximum load of virtual machines and guarantee that the sum rate of admitted flows is large enough, we formulate an optimization problem that is inherently different from the minimum cost flow problem. We transform the optimization problem to a linear programming problem, which can be solved in polynomial time. We also use numerical results to justify the usage of the proposed approach.

Original languageEnglish
Title of host publication2016 IEEE Wireless Communications and Networking Conference, WCNC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467398145
DOIs
StatePublished - 12 Sep 2016
Event2016 IEEE Wireless Communications and Networking Conference, WCNC 2016 - Doha, Qatar
Duration: 3 Apr 20167 Apr 2016

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2016-September
ISSN (Print)1525-3511

Conference

Conference2016 IEEE Wireless Communications and Networking Conference, WCNC 2016
Country/TerritoryQatar
CityDoha
Period3/04/167/04/16

Keywords

  • cellular network
  • load balancing
  • network optimization
  • service chaining
  • software-defined network
  • traffic engineering

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