• DocumentCode
    2707530
  • Title

    Using Routing Optimization in Next Generation Network to Achieve High QoS

  • Author

    Fgee, El-Bahlul ; Elalo, Abdoelbari ; Phillips, William J. ; Elhounie, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Acad. of Grad. Studies, Tripoli, Libya
  • fYear
    2010
  • fDate
    11-14 May 2010
  • Firstpage
    261
  • Lastpage
    267
  • Abstract
    This paper deals with the routing optimization in IPV6 networks. It´s the key processes of traffic engineering and network planning. Routing optimization provides a means to balance the traffic load in the network with the goal to improve the quality of service. The main objective of our routing optimization procedures is the minimization of the end-to-end delay, which is the total time of an individual packet to transfer from source to destination node. By optimized one of router´s functions, this function is the packet classification. This work is done modify the packet classification operation in the router architecture by making it based on two tuples (source address and flow label) instead of the regular five tuples to classify the coming packets. Finally, to test and compare the performance of our algorithm, we used the network simulator NS-2,version 2.29. The simulation results indicate that the proposed algorithm indeed helps to minimize the end-to-end delay as a result of router optimization.
  • Keywords
    IP networks; quality of service; telecommunication network planning; telecommunication network routing; telecommunication traffic; IPV6 networks; end-to-end delay; high QoS; network planning; next generation network; packet classification operation; routing optimization; traffic engineering; Communication networks; Next generation networking; Routing; IPv6; QoS; roting optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Networks and Services Research Conference (CNSR), 2010 Eighth Annual
  • Conference_Location
    Montreal, QC
  • Print_ISBN
    978-1-4244-6248-3
  • Type

    conf

  • DOI
    10.1109/CNSR.2010.41
  • Filename
    5489380