• DocumentCode
    3772319
  • Title

    Context-Aware Traffic Forwarding Service for Applications in SDN

  • Author

    Shibo Luo;Jun Wu;Jianhua Li;Longhua Guo;Bei Pei

  • Author_Institution
    Sch. of Electron. Inf. &
  • fYear
    2015
  • Firstpage
    557
  • Lastpage
    561
  • Abstract
    Traffic forwarding is a fundamental function in network operations. And forwarding traffic dynamically according to the current situation is attractive to network providers. With its programmability, Software-Defined Networks (SDN) provide network providers dynamic traffic forwarding ability. But SDN only provides trivial flow table to control traffic forwarding that is not an effective way for applications above SDN architecture. Also, SDN does not percept the situation itself. A more abstract and context-aware traffic forwarding scheme for applications in SDN is needed. In this paper, we propose a context-aware traffic forwarding service for applications in SDN. We firstly propose a traffic forwarding service composition framework special for SDN that utilize the advantages of SDN. We conclude that traffic forwarding service composition problem in SDN is essentially a multi-constrained optimization path problem. And based on this conclusion, a graph-based model and service composition algorithm are applied to the service composition scheme. To take the dynamic context factors in SDN into consideration, a regression analysis method is adopted. Finally, we offer an evaluation to validate the methodology. The results of the evaluation demonstrate that our approach is context-aware.
  • Keywords
    "Context","Delays","Optimization","Regression analysis","Information management","Monitoring","Metadata"
  • Publisher
    ieee
  • Conference_Titel
    Smart City/SocialCom/SustainCom (SmartCity), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/SmartCity.2015.128
  • Filename
    7463782