Supporting multi-user real-time VBR video service using 
dynamic bandwidth management based on prediction

doi:10.1016/S1005-8885(08)60290-3

Acta Metallurgica Sinica(English letters) ›› 2009, Vol. 16 ›› Issue (6): 64-71.doi: 10.1016/S1005-8885(08)60290-3

• Networks • Previous Articles Next Articles

Supporting multi-user real-time VBR video service using
dynamic bandwidth management based on prediction

XU Zhi-yuan , LI Hui, LU Yue-ming, JI Yue-feng

Key Laboratory of Optical Communications and Lightwave Technologies, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2008-05-06 Revised:1900-01-01 Online:2009-12-30
Contact: XU Zhi-yuan

Abstract

Abstract:

Real-time variable bit rate (VBR) video is expected to take a significant portion of multimedia applications. However, plentiful challenges to VBR video service provision have been raised for its characteristic of high traffic abruptness. To support multi-user real-time VBR video transmission with high bandwidth utilization and satisfied quality of service (QoS), this article proposes a practical dynamic bandwidth management scheme. This scheme forecasts future media rate of VBR video by employing time-domain adaptive linear predictor and using media delivery index (MDI) as both QoS measurement and complementary management reference. In addition, to support multi-user application, an adjustment priorities classified strategy is also put forward. Finally, a test-bed based on this management scheme is established. The experimental results demonstrate that the scheme proposed in this article is efficient with bandwidth utilization increased by 20%60% compared to a fixed service rate and QoS guaranteed.

Key words:

dynamic bandwidth management;MDI;QoS;real-time;time-domain adaptive linear predictor;VBR video

XU Zhi-yuan , LI Hui, LU Yue-ming, JI Yue-feng. Supporting multi-user real-time VBR video service using
dynamic bandwidth management based on prediction[J]. Acta Metallurgica Sinica(English letters), 2009, 16(6): 64-71.

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Supporting multi-user real-time VBR video service using
dynamic bandwidth management based on prediction

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Supporting multi-user real-time VBR video service using dynamic bandwidth management based on prediction

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Supporting multi-user real-time VBR video service using
dynamic bandwidth management based on prediction