An effective burstiness estimation model for VBR video stream

Burstiness property plays an important role in the variable bit rate (VBR) video traffic. One of the most significant issues in providing quality-of-service (QoS) guarantees for the real-time multimedia communications in a high-speed network is to estimate the burstiness accurately. In this paper, an efficient burstiness estimation model (fractal exponent model) for VBR video stream is proposed. In order to improve the accuracy of the burstiness measure, a new operator is firstly introduced, which is similar to the convolution operator. Then, using burstiness index derived from the fractal exponent function, we can estimate the burstiness characteristics of VBR video correctly. Simulation results using 20 VBR MPEG video traces indicate good performance of the proposed algorithm with significantly improved burstiness estimation accuracy.