Dynamic bandwidth allocation for VBR video transport
Souhwan Jung, Younghan Kim, James S. Meditch
Abstract
Souhwan Jung, Younghan Kim, James S. Meditch
Abstract
We discuss a source model for VBR video traffic, and present an application to dynamic bandwidth allocation of the model. A two-state Markov chain model is used to extract useful parameters for adaptively allocating transmission bandwidth to variable-bit-rate traffic. The performance of our dynamic bandwidth allocation scheme has been compared with other schemes for both a homogeneous and a heterogeneous mix of traffic. Simulation results show that our dynamic bandwidth allocation scheme outperforms the static allocation or the low-pass filter scheme.
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We discuss a source model for VBR video traffic, and present an application to dynamic bandwidth allocation of the model. A two-state Markov chain model is used to extract useful parameters for adaptively allocating transmission bandwidth to variable-bit-rate traffic. The performance of our dynamic bandwidth allocation scheme has been compared with other schemes for both a homogeneous and a heterogeneous mix of traffic. Simulation results show that our dynamic bandwidth allocation scheme outperforms the static allocation or the low-pass filter scheme.
Key concepts: Dynamic bandwidth allocation, Computer science, Variable bitrate, Bandwidth allocation, Bandwidth (computing), Channel allocation schemes, Markov chain, Markov process