• DocumentCode
    266938
  • Title

    MoRule: Optimized rule placement for mobile users in SDN-enabled access networks

  • Author

    He Li ; Peng Li ; Song Guo

  • Author_Institution
    Univ. of Aizu, Aizu Wakamatsu, Japan
  • fYear
    2014
  • fDate
    8-12 Dec. 2014
  • Firstpage
    4953
  • Lastpage
    4958
  • Abstract
    With the surging popularity of smartphones and tablets, mobile network traffic has dramatically increased in recent years. Software defined network (SDN) provides a scalable and flexible structure to simplify network traffic management. It has been shown that rule placement plays an important role in the performance of SDN. However, since most existing work considers static network topologies of wired networks, it cannot be directly applied for mobile networks. In this paper, we propose MoRule, an efficient rule management scheme to optimize the rule placement for mobile users. To deal with the challenges of user mobility and rule capacity constraints of switches, we design a heuristic algorithm with low-complexity to minimize the rule space occupation while guaranteeing that the mobile traffic processed by local switches is no less than a threshold. By conducting extensive simulations, we demonstrate that our proposed algorithm significantly outperforms random solutions under various network settings.
  • Keywords
    computational complexity; mobility management (mobile radio); radio access networks; software defined networking; telecommunication network topology; telecommunication traffic; MoRule; SDN-enabled access networks; heuristic algorithm; mobile network traffic; mobile users; network traffic management; optimized rule placement; software defined network; static network topologies; Algorithm design and analysis; Base stations; Mobile communication; Mobile computing; Network topology; Smart phones; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2014 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2014.7037590
  • Filename
    7037590