Effective quality-of-service renegotiating schemes for streaming video

Authors:
Hwangjun Song;Dai-Boong Lee
Affiliations:
School of Electrical Engineering, Hongik University, Mapo-gu, Seoul, Korea;School of Electrical Engineering, Hongik University, Mapo-gu, Seoul, Korea
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2004

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Abstract

Effective quality-of-service renegotiating schemes for streaming video is presented. The conventional network supporting quality of service generally allows a negotiation at a call setup. However, it is not efficient for the video application since the compressed video traffic is statistically nonstationary. Thus, we consider the network supporting quality-of-service renegotiations during the data transmission and study effective quality-of-service renegotiating schemes for streaming video. The token bucket model, whose parameters are token filling rate and token bucket size, is adopted for the video traffic model. The renegotiating time instants and the parameters are determined by analyzing the statistical information of compressed video traffic. In this paper, two renegotiating approaches, that is, fixed renegotiating interval case and variable renegotiating interval case, are examined. Finally, the experimental results are provided to show the performance of the proposed schemes.