• DocumentCode
    2153967
  • Title

    Insights on SDN migration trajectory

  • Author

    Das, Tamal ; Caria, Marcel ; Jukan, Admela ; Hoffmann, Marco

  • Author_Institution
    Technische Universität Carolo-Wilhelmina zu Braunschweig, Germany
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    5348
  • Lastpage
    5353
  • Abstract
    As the Software Defined Networking (SDN) paradigm gains momentum, network operators wonder about how to go about replacing their legacy IP routers with SDN-compliant ones. While forklift network upgrades are impractical in operational networks, the promise of SDN is too compelling. Thus, a viable solution is to gradually migrate over time, leading to hybrid OSPF/SDN networks. Although recent studies proposed device architectures, protocols and algorithms required in such hybrid networks, a single routing domain´s SDN migration trajectory - as a whole - has hardly been studied. Significance of the sequence in which IP routers are replaced with SDN routers and optimal sequence of router replacements need to be investigated. In this paper, we address these questions based on SDN´s traffic engineering (TE) gains and an operator´s SDN investment constraints. We propose optimization techniques and heuristics to plan an effective migration schedule in a single routing domain and demonstrate the significance of such a schedule using relevant network management metrics. Our results suggest: (a) the sequence of IP routers migrating to SDN largely determine the resulting TE gains, and, (b) to determine the best migration sequence, novel greedy algorithms perform almost as good as optimization techniques.
  • Keywords
    Greedy algorithms; IP networks; Investment; Next generation networking; Optimization; Routing; Schedules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7249174
  • Filename
    7249174