• DocumentCode
    1679513
  • Title

    Mapping bandwidth to quality of service: an importance sampling based traffic engineering approach

  • Author

    Feng, Benjamin Zhong Ming ; Huang, Changcheng ; Devetsikiotis, Mike ; Champoux, Yanick

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada
  • Volume
    1
  • fYear
    2005
  • Firstpage
    110
  • Abstract
    This paper proposes a new traffic engineering approach: importance sampling based traffic engineering (ISTE). ISTE can map the bandwidth of a traffic flow to the quality of service (QoS) it can receive within a network. The proposed ISTE approach does not require extensive knowledge of the network internal details, thus making it applicable to most large and complex networks. It can carry out the end-to-end QoS analysis of a network or carry out the performance analysis of a single network node. Even if there are multiple congested nodes in the network, the ISTE approach remains effective. This paper shows that the ISTE approach, under self-similar (C. Huang, Ph.D. thesis, Carleton University, Canada, 1997; V. Paxson and S. Floyd. IEEE/ACM Trans. on Networking, vol. 3, no. 3, pp. 226-244, 1995) traffic model, is capable of calculating the changes in the network QoS (e.g. probability of buffer overflow) with respect to the changes in the bandwidths of the ingress network traffic flows. In the scenarios where several ingress traffic flows influence the QoS of the network, a more specialized technique called ISTE alternating twisting (ISTE-AT) is proposed. ISTE-AT makes the proposed ISTE approach even more powerful.
  • Keywords
    fractals; importance sampling; quality of service; telecommunication congestion control; telecommunication network management; telecommunication network routing; telecommunication traffic; ISTE; ISTE alternating twisting; ISTE-AT; QoS; buffer overflow probability; complex networks; end-to-end network QoS analysis; importance sampling based traffic engineering; ingress network traffic flow bandwidth; multiple congested nodes; network internal details; quality of service; self-similar traffic model; single network node performance analysis; traffic flow bandwidth mapping; Bandwidth; Buffer overflow; Delay; Monte Carlo methods; Performance analysis; Predictive models; Quality of service; Systems engineering and theory; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2005. ICC 2005. 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-8938-7
  • Type

    conf

  • DOI
    10.1109/ICC.2005.1494330
  • Filename
    1494330