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Volume 21 Issue 2
Mar.  1999
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Xu Du, Li Lemin. ANALYSIS OF THE PERFORMANCE OF ATM MULTIPLEXING IN SELF-SIMILAR TRAFFIC CASE[J]. Journal of Electronics & Information Technology, 1999, 21(2): 158-167.
Citation: Xu Du, Li Lemin. ANALYSIS OF THE PERFORMANCE OF ATM MULTIPLEXING IN SELF-SIMILAR TRAFFIC CASE[J]. Journal of Electronics & Information Technology, 1999, 21(2): 158-167.

ANALYSIS OF THE PERFORMANCE OF ATM MULTIPLEXING IN SELF-SIMILAR TRAFFIC CASE

  • Received Date: 1997-09-08
  • Rev Recd Date: 1998-04-30
  • Publish Date: 1999-03-19
  • Recent measurements show that the traditional traffic models cannot be success on kinds of long-range dependent traffic which has great influences on the network performance. Fractal or self-similar models are found to be more suitable for describing the modern traffic. But there is still little knowledge about the performance of the multiplexer under self-similar traffic. This paper proposes a Quasi Self-Similar Process (QSSP). Using this process, the upper bond of the cell loss rate and multiplexing gain of the multiplexer in N i.i.d. QSSP input case is gotten. If the sources with different parameters, an efficient numerical algorithm to get a bond is also proposed. Simulation indicates that the analysis fit with the simulation result well.
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  • Leland W E, Taqqu M S, Willinger W, Wilson D V. On the self-similar nature of ethernet traffic[2]extended version). IEEE/ACM Trans[J].on Networking.1994, 2(1):1-15[3]Paxson V, Floyd S. Wide-area traffic: The failure of Poisson modeling. IEEE/ACM Trans. on[4]Networking, 1995, 3(3): 225-244.[5]Addie R G, Zukerman M, Neame T. Factal traffic: measurement, modeling and performance evaluation. INFOCOM95, Boston(MA): 1995, 977-984.[6]Beran J, Sherman R, Taqqu M S, Willinger W. Long-range dependence in variable-bit-rate video[7]traffic. IEEE Trans. on Communications, 1995, C-43(2/3/4): 1566-1579.[8]Norros 1. A storage model with self-similar input[J].Queueing Systems.1994, 16:387-396[9]Erramilli A, Narayan O, Willinger W. Experimental queueing analysis with long-range dependent packet traffic[J].IEEE/ACM Trans. on Networking.1996, 4(4):209-223[10]Cox D R. Long-range dependence: A review. Statistics: An appraisal, Proc. 50th Anniv. Conf., David H A and David H T, Editors. Iowa State Statistical Library, 1984, 55-74.[11]Mandelbrot B B, Van Ness J W. Factional Brownian motion, fractional noise and applications. SLAM Review, 1968, 10(4): 422-437.[12]Frost, V S, Melamed B. Traffic modeling for telecommunications networks, IEEE Communications Magazine, 1994, 32(3): 70-81.[13][10][14]Lee H W, Mark J W. Capacity allocation in statistical multiplexing of ATM sources. INFO- COM94,丁oronto Canada: 1994, 708-715.
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