Energy-aware traffic routing with named data networking

Yunlong Song*, Min Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Greening Internet is an important issue now, which studies the way to reduce the increasing energy expenditure. Our work focuses on the network infrastructure and considers its energy awareness in traffic routing. We formulate the model by traffic engineering to achieve link rate adaption, and also predict traffic matrices to preserve network stability. However, we realize that there is a tradeoff between network performance and energy efficiency, which is an obvious issue as Internet grows larger and larger. An essential cause is the huge traffic, and thus we try to find its solution from a novel architecture called Named Data Networking (NDN) which can flexibly cache content in edge routers and decrease the backbone traffic. We combine our methods with NDN, and finally improve both the network performance and the energy efficiency. Our work shows that it is effective, necessary and feasible to consider greening idea in the design of future Internet.

Original languageEnglish
Pages (from-to)71-81
Number of pages11
JournalChina Communications
Volume9
Issue number6
Publication statusPublished - Jun 2012
Externally publishedYes

Keywords

  • Energy-aware traffic routing
  • Greening Internet
  • Link stability
  • Named Data Networking
  • Traffic matrices prediction

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