New statistical model for VBR video traffic in ATM networks
G. Sisodia, S. De, Mark Hedley, Ling Guan
Abstract
G. Sisodia, S. De, Mark Hedley, Ling Guan
Abstract
We present a new approach to modelling variable bit rate (VBR) coded video sources in asynchronous transfer mode (ATM) networks. Unlike the existing methods which model the number of cells generated by the coder for a sequence of video frames, the new approach improves modelling accuracy by considering the characteristics of different cells generated by the coder, and modelling the number of cells in each type of macroblocks of a frame separately. The model is tested by comparing the cell loss rate in simulation of an ATM switch to cell loss rate produced when traces generated by the model are used as the source. Comparison with the existing models are performed in the area of measuring the quality of their predictions for network performance and the grade of service experienced by a user.
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We present a new approach to modelling variable bit rate (VBR) coded video sources in asynchronous transfer mode (ATM) networks. Unlike the existing methods which model the number of cells generated by the coder for a sequence of video frames, the new approach improves modelling accuracy by considering the characteristics of different cells generated by the coder, and modelling the number of cells in each type of macroblocks of a frame separately. The model is tested by comparing the cell loss rate in simulation of an ATM switch to cell loss rate produced when traces generated by the model are used as the source. Comparison with the existing models are performed in the area of measuring the quality of their predictions for network performance and the grade of service experienced by a user.
Key concepts: Variable bitrate, Asynchronous Transfer Mode, Computer science, Real-time computing, Asynchronous communication, Frame (networking), Quality of service, Computer network