Structure based adaptive prediction of VBR MPEG traffic for RCBR network

With the development of the Internet, variable bit rate (VBR) video will be the major component of future multimedia services. In order to guarantee quality of service (QoS) in real-time transmission, on-line prediction of VBR video traffic integrated with a mechanism for dynamic resource allocation in RCBR (renegotiate constant bit rate) networks has been an active research area. We exploit the short-range dependence (SRD) and long-range dependence (LRD) characteristics of MPEG video and develop a novel structure-based LMS algorithm to predict the bandwidth required by the future frame and group of pictures (GOP). Compared to the LMS algorithm, the modified LMS algorithm can predict the bit rate of frames quickly and accurately without any delay. Through analysis of the queuing of video traffic in the network buffer, dynamic bandwidth allocation using prediction in RCBR networks exhibits better performance than fixed bandwidth allocation.