• DocumentCode
    3110415
  • Title

    Optimization of QoS Routing

  • Author

    Agrawal, Himanshu ; Grah, Melanie ; Gregory, Mark

  • Author_Institution
    RMIT Univ., Melbourne
  • fYear
    2007
  • fDate
    11-13 July 2007
  • Firstpage
    598
  • Lastpage
    603
  • Abstract
    Next generation Internet applications provide guaranteed end-to-end quality-of-service (QoS). Optimization based on constraints for QoS routing is computationally complex and for this reason many heuristics have been proposed for routing in a practical situation. Among these delay constrained least cost (DCLC) routing is popular. In this paper we propose an algorithm for delay-constrained problems. Multimedia applications have stringent constraints on delay, delay-jitter, cost, etc. The main purpose of QoS routing is to find a feasible path that has sufficient resources to satisfy the constraints. The delay and cost constrained routing problem is NP-complete. This paper presents an technique called E-LARAC based on Lagrange relaxation that gives a lower bound on the theoretical optimal solution. Simulation results show that it can obtain better performance than CBF and DCUR.
  • Keywords
    Internet; computational complexity; multimedia computing; optimisation; quality of service; relaxation theory; telecommunication network routing; Lagrange relaxation; QoS routing optimization; computational complexity; delay constrained least cost routing; end-to-end quality-of-service; multimedia application; next generation Internet application; Aggregates; Application software; Constraint optimization; Cost function; Delay; Electronic mail; Internet; Lagrangian functions; Quality of service; Routing; Optimization; QoS routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2007. ICIS 2007. 6th IEEE/ACIS International Conference on
  • Conference_Location
    Melbourne, Qld.
  • Print_ISBN
    0-7695-2841-4
  • Type

    conf

  • DOI
    10.1109/ICIS.2007.144
  • Filename
    4276447