Traffic smoothing and bandwidth allocation for VBR MPEG-2 video connections in ATM network
Zhongyong Guo, Jian Ni, Tao Yang
Abstract
Zhongyong Guo, Jian Ni, Tao Yang
Abstract
We studied the traffic smoothing and bandwidth allocation issues for VBR MPEG-2 video connections in an ATM network. First of all, the statistical characteristics of VBR MPEG-2 video sequences were examined by real observation. The obtained results showed that it would be very difficult to efficiently allocate an appropriate amount of bandwidth if such traffic were straightforwardly feed into the network. We therefore introduced a so called macro-frame (M-frame) smoothing scheme. It was found that the smoothed traffic not only possesses relatively simple characteristics but also makes the bandwidth allocation more efficient. In consideration of the fact that there is not yet a proper bandwidth allocation algorithm for VBR MPEG-2 connections, we examined and compared the simple peak rate allocation and Gaussian approximation. It was found that (1) peak rate allocation is far more inefficient than the actual need and (2) Gaussian approximation is surprisingly accurate and efficient in estimating the bandwidth, especially in the case of smoothed traffic.
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We studied the traffic smoothing and bandwidth allocation issues for VBR MPEG-2 video connections in an ATM network. First of all, the statistical characteristics of VBR MPEG-2 video sequences were examined by real observation. The obtained results showed that it would be very difficult to efficiently allocate an appropriate amount of bandwidth if such traffic were straightforwardly feed into the network. We therefore introduced a so called macro-frame (M-frame) smoothing scheme. It was found that the smoothed traffic not only possesses relatively simple characteristics but also makes the bandwidth allocation more efficient. In consideration of the fact that there is not yet a proper bandwidth allocation algorithm for VBR MPEG-2 connections, we examined and compared the simple peak rate allocation and Gaussian approximation. It was found that (1) peak rate allocation is far more inefficient than the actual need and (2) Gaussian approximation is surprisingly accurate and efficient in estimating the bandwidth, especially in the case of smoothed traffic.
Key concepts: Dynamic bandwidth allocation, Variable bitrate, Computer science, Bandwidth allocation, Bandwidth (computing), Smoothing, Gaussian, Frame (networking)