• DocumentCode
    2846227
  • Title

    Power-Aware Traffic Engineering with Named Data Networking

  • Author

    Song, Yunlong ; Liu, Min ; Wang, Yuwei

  • Author_Institution
    Inst. of Comput. Technol., Beijing, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    289
  • Lastpage
    296
  • Abstract
    Power-aware traffic engineering puts some links to sleep by moving their traffic to other links. However, this can make the utilization of remaining links higher, especially when the traffic amount is large. There is a tradeoff between the number of sleeping links and the utilization of links. To solve this problem, we propose to use a state-of-the-art networking called Named Data Networking (NDN), which can cache and retrieve the content in the storable routers. This can facilitate power-aware traffic engineering, because some traffic does not need to travel through the core network any more, and it only ends up at the edge routers which have already cached the required content. We use NDN to balance the traffic demand between origin-destination core routers so that traffic demand through the network can be adjusted to satisfy the requirement of power-aware traffic engineering. We evaluate power-aware traffic engineering with NDN and show its advantage compared to the one with conventional networking.
  • Keywords
    Internet; cache storage; content-based retrieval; telecommunication links; telecommunication network routing; telecommunication traffic; NDN; core network; edge router; named data networking; origin-destination core router; power-aware traffic engineering; sleeping links; state-of-the-art networking; traffic demand; Equations; Green products; Mathematical model; Power demand; Web servers; Named Data Networking; content caching; power-aware traffic engineering; traffic demand balancing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Ad-hoc and Sensor Networks (MSN), 2011 Seventh International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4577-2178-6
  • Type

    conf

  • DOI
    10.1109/MSN.2011.64
  • Filename
    6117426