Real Time VBR Video Using Adaptive

A dynamic bandwidth allocation strategy to support variable bit rate (VBR) video traac is proposed. This strategy predicts the bandwidth requirements for future frames using adaptive linear prediction that minimizes the mean square error. The adaptive technique does not require any prior knowledge of the traac statistics, nor assume stationarity. Analyses using six one-half hour video traces indicate that prediction errors for the bandwidth required for the next frames are almost white noise or short memory. The performance of dynamic bandwidth allocation using Renegotiation Constant Bit Rate (RCBR) as the network service model was studied using simulation. Simulation results for dynamic reservation based on predicting 1-frame and GOP rates are presented. The results for predicting GOP rate show that the queue size is reduced by a factor between 15-160 and the network utilization is increased between 190%-300% as compared to a xed service rate. The tradeoo between number of renegotiations and network utilizations is studied and methods to control this tradeoo are presented. Simulation results show that even when rene-gotiations occur on the average in tens of seconds, the queue size is reduced by a factor between 16-30.