Supporting Real Time VBR Video Using Dynamic Reservation Based on Linear Prediction
Author(s)
Adas, Abdelnaser M.
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Abstract
A dynamic bandwidth allocation strategy to support variable bit rate (VBR)
video traffic is proposed. This strategy predicts the bandwidth requirements
for future frames using either adaptive or non-adaptive least mean square (LMS)
error linear predictors. The adaptive technique does not require any prior
knowledge of the statistics, nor assumes stationarity. Several reservation
schemes and pro-active congestion approach are also presented. Analysis using
half hour long video traces indicate the prediction errors for the bandwidth
required for the next frame are almost white noise.
By reserving bandwidth equal to the predicted value, only the prediction errors
need to be buffered. Because the errors are almost white noise, small buffers
size, can achieve high utilizations and small delay. Simulation results show
that for the same expected cell loss, buffers size is reduced by more than a
factor of 100 and network utilization increased of more that 250% as
compared to the traditional fixed service rate.
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Date
1995
Extent
300830 bytes
Resource Type
Text
Resource Subtype
Technical Report