Adaptive linear prediction of MPEG video traffic

A large portion of traffic on multimedia networks is expected to be video traffic with a variable-bit-rate traffic characteristic. Video traffic prediction can play an important role in dynamic bandwidth allocation and traffic management in future high-speed packet-switched networks and ATM networks. A composite MPEG video traffic prediction scheme based on the normalised least mean square error (NLMS) algorithm is proposed in this paper. Unlike previous MPEG video traffic prediction schemes, which predict I, P and B frames separately, the proposed scheme predicts the composite MPEG video traffic levels. A experimental study has shown considerable prediction accuracy of this scheme.

[1]  Amarnath Mukherjee,et al.  On resource management and QoS guarantees for long range dependent traffic , 1995, Proceedings of INFOCOM'95.

[2]  Gunnar Karlsson,et al.  Performance models of statistical multiplexing in packet video communications , 1988, IEEE Trans. Commun..

[3]  Benjamin Melamed,et al.  TES: A Class of Methods for Generating Autocorrelated Uniform Variates , 1991, INFORMS J. Comput..

[4]  Graham C. Goodwin,et al.  Adaptive filtering prediction and control , 1984 .

[5]  Abdelnaser Mohammad Adas Using adaptive linear prediction to support real-time VBR video under RCBR network service model , 1998, TNET.

[6]  太田 直久,et al.  Packet video : modeling and signal processing , 1994 .

[7]  San-qi Li,et al.  Queue response to input correlation functions: discrete spectral analysis , 1992, [Proceedings] IEEE INFOCOM '92: The Conference on Computer Communications.

[8]  Didier Le Gall,et al.  MPEG: a video compression standard for multimedia applications , 1991, CACM.

[9]  Magda El Zarki,et al.  Bandwidth requirements of variable bit rate MPEG sources in ATM networks , 1993, IEEE INFOCOM '93 The Conference on Computer Communications, Proceedings.

[10]  Walter Willinger,et al.  Long-range dependence in variable-bit-rate video traffic , 1995, IEEE Trans. Commun..

[11]  John Cosmas,et al.  Characterization of Video Codecs as Autoregressive Moving Average Processes and Related Queueing System Performance , 1991, IEEE J. Sel. Areas Commun..

[12]  Mitsuru Nomura,et al.  Basic characteristics of variable rate video coding in ATM environment , 1989, IEEE J. Sel. Areas Commun..

[13]  Po-Rong Chang,et al.  Optimal Nonlinear Adaptive Prediction and Modeling of MPEG Video in ATM Networks Using Pipelined Recurrent Neural Networks , 1997, IEEE J. Sel. Areas Commun..

[14]  Edward W. Knightly,et al.  RED-VBR: A New Approach to Support Delay-Sensitive VBR Video in Packet-Switched Networks , 1995, NOSSDAV.

[15]  San-qi Li,et al.  Predictive Dynamic Bandwidth Allocation for Efficient Transport of Real-Time VBR Video over ATM , 1995, IEEE J. Sel. Areas Commun..