The Optimized Algorithm Characterizing Renegotiation for VBR Video Flows
Xiao Zhang
Abstract
Xiao Zhang
Abstract
Aiming at the devastating multiple time scale burstiness of VBR (Variable Bit Rate) video flows,an optimized algorithm characterizing renegotiation which is based on multilevel regulator and multiple time scale bandwidth allocation and flow admission is presented.Through the renegotiation between video source and edge node of the network,video flows are properly enveloped before entering the network.The proposed algorithm enhances the capability of control and prediction on video flows,which significantly attenuates the impact caused by burstiness on network.For small and moderate aggregated flows,it could attain a multiplexing gain approximating the gain of unrestricted VBR flows.
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Aiming at the devastating multiple time scale burstiness of VBR (Variable Bit Rate) video flows,an optimized algorithm characterizing renegotiation which is based on multilevel regulator and multiple time scale bandwidth allocation and flow admission is presented.Through the renegotiation between video source and edge node of the network,video flows are properly enveloped before entering the network.The proposed algorithm enhances the capability of control and prediction on video flows,which significantly attenuates the impact caused by burstiness on network.For small and moderate aggregated flows,it could attain a multiplexing gain approximating the gain of unrestricted VBR flows.
Key concepts: Burstiness, Variable bitrate, Computer science, Computer network, Statistical time division multiplexing, Bandwidth (computing), Multiplexing, Real-time computing