video

sound

Persian Version

View:

708

Download:

0

Cites:

Information Journal Paper

Title

TRAFFIC POLICING IN ATM NETWORKS USING LEARNING AUTOMATA

Author(s)

SEIFI Y. | MEYBODI M.R.

Pages

  13-28

Abstract

 Variety of methods for TRAFFIC POLICING such as windowing algorithm and LEAKY BUCKET for computer networks have been proposed in the literatures. The windowing algorithm works well for packet networks but it is not appropriate for High speed networks such as ATM. In this paper, a new group of traffic policers for ATM NETWORK has been proposed. These proposed traffic policers are obtained by improving the LEAKY BUCKET method. LEARNING AUTOMATA is used to adapt the parameters of the LEAKY BUCKET according to the behavior of the traffic sources. To study the effectiveness of the proposed methods, computer simulations have been conducted. The results of simulation have shown that the proposed methods reduce the percentage of the cell loss. The proposed traffic policer works well for the situations where the traffic characteristics. Of the source are unknown.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    SEIFI, Y., & MEYBODI, M.R.. (2004). TRAFFIC POLICING IN ATM NETWORKS USING LEARNING AUTOMATA. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TABRIZ), 30(1 (34) Electronics), 13-28. SID. https://sid.ir/paper/43891/en

    Vancouver: Copy

    SEIFI Y., MEYBODI M.R.. TRAFFIC POLICING IN ATM NETWORKS USING LEARNING AUTOMATA. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TABRIZ)[Internet]. 2004;30(1 (34) Electronics):13-28. Available from: https://sid.ir/paper/43891/en

    IEEE: Copy

    Y. SEIFI, and M.R. MEYBODI, “TRAFFIC POLICING IN ATM NETWORKS USING LEARNING AUTOMATA,” JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TABRIZ), vol. 30, no. 1 (34) Electronics, pp. 13–28, 2004, [Online]. Available: https://sid.ir/paper/43891/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    File Not Exists.