Supporting real time VBR video using dynamic reservation based on linear prediction

  • Authors:
  • A. Adas

  • Affiliations:
  • Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA

  • Venue:
  • INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
  • Year:
  • 1996

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Abstract

A dynamic bandwidth allocation strategy to support variable bit rate (VBR) video trafic 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 statioaarity. Several reservation schemes are also presented. Analysis using six one-half hour video traces indicate that 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 buger size, high utilization, and small delay are achieved. Simulation results for l-step linear predictor show that for the same expected cell loss, buffer size is reduced by more than a factor of 100 and network utilization is increased more that 250% as compared to a fixed service rate.