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Volume 28 Issue 6
Jun.  2006
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WU Zehui, WEI Qiang, REN Kailei, WANG Qingxian. Dynamic Defense for DDoS Attack Using OpenFlow-based Switch Shuffling Approach[J]. Journal of Electronics & Information Technology, 2017, 39(2): 397-404. doi: 10.11999/JEIT160449
Citation: Wang Sheng-hui, Qiu Zheng-ding. Multifractal Modeling of VBR Video Traffic[J]. Journal of Electronics & Information Technology, 2006, 28(6): 1120-1123.

Multifractal Modeling of VBR Video Traffic

  • Received Date: 2004-11-04
  • Rev Recd Date: 2005-08-31
  • Publish Date: 2006-06-19
  • In this paper a new MultiFractal Model (MFM) of Variable Bit Rate (VBR) video traffic is proposed. It makes sure that the approaching performance of the new model (PM-MFM) has better performance than MFM and PM-MFM. Meanwhile, a new frame level VBR traffic model base on PM-MFM is proposed, which is called Composite MWM(CMWM).CMWM considers the correlation structure of I, P, B frame size of VBR video traffic. Simulation result shows that CMCM can depict statistical feature and network performance more accurately than traditional SRD model and LRD model, Simulation result also shows multifractal feature is important in traffic modeling.
  • Garrett M, Willinger W. Analysis, modelling and generation of self-similar VBR video traffic[J].Proc. SIGCOMM94 Conf., London, UK, September.1994, Vol. 24:269-[2]Erramilli A, Narayan O, Willinger W. Experimental queuing analysis with long-range dependent packet traffic[J].IEEE/ACM Trans.Networking.1996, 4(2):209-[3]Huang C, Devetsikiotis M, Lambadaris I, Kaye A R. Fast simulation for self-similar traffic in ATM networks. Proc. IEEE ICC, Seattle, June 1995: 438.444.[4]Feldmann A, Gilbert A C, Willinger W. Data networks as cascades: Investigating the multifractal nature of internet WAN traffic. Proc. ACM/Sigcomm 98, Vancouver, Canada, 1998, vol. 38: 42.55.[5]Gao Jianbo,Rubin I. Multifractal analysis and modelling of VBR video traffic[J].Electronics Letters.2000, 36(3):278-[6]Hong Fei, Wu Zhimei. Multifractal analysis and model of the MPEG-4 video traffic. IEEE 2003 International Performance Computing and Communications Conference (IPCCC 2003), Phoenix , Arizona, U.S.A. April 9-11, 2003: 463.467.[7]Riedi R H, Crouse M S, Ribeiro V J, Baraniuk R G. A multifractal wavelet model with application to network traffic[J].IEEE Trans. on Information Theory.1999, 45(4):992-[8]Seeling P, Reisslein M, Kulapala B. Network performance evaluation using frame size and quality traces of single-layer and two-layer video: A tutorial. IEEE Communications Surveys and Tutorials. Third Quarter 2004, 6(2): 58.78.[9] LBL, Xerox PARC, UCB and USC/ISI, Network Simulator-ns (version2) IEEE, www.isi.edu/nsnam/ns[10]Xu Shugong, Huang Zailu. A gamma autoregressive video model on ATM networks[J].IEEE Trans. on Circuits and Systems for Video Technology.1998, 8(2):138-[11]Liew C H, Kodikara C, Kondoz A M. Modelling of MPEG-4 encoded VBR video traffic, Electronics Letters 2004, 40(5): 355.357.
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