Title :
Multifractal Analysis and Prediction of VBR Video Traffic
Author :
Shenghui, Wang ; ZhengDing, Qiu
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ.
Abstract :
Real-time prediction of video source traffic is an important step in wireless network management tasks such as dynamic bandwidth allocation and end-to-end quality-of-service (QoS) control strategies. However, together with the slowly-decaying auto-covariance function (ACF) and the traffic non-stationarity, it suggests that some conventional prediction tools, which only use short-range dependence (SRD) feature, such as the linear auto-regressive method are not appropriate for prediction at large time scale. In this paper, we use multifractal method to analysis and predict VBR video traffic. We implement our predictor by making predictions in the multifractal domain and solving the prediction of the VBR video traffic through multifractal tree. Because the LRD feature of video traffic is used, the multi-step prediction performance of proposed method is much better than traditional linear methods
Keywords :
covariance analysis; radio networks; real-time systems; telecommunication network management; telecommunication traffic; video signal processing; ACF; LRD feature; SRD; VBR video source traffic; autocovariance function; long-range dependence; multifractal analysis; real-time prediction; short-range dependence; variable-bit-rate; wireless network management; Communication system traffic control; Fractals; Predictive models; Quality management; Quality of service; Resource management; Telecommunication traffic; Traffic control; Wireless communication; Wireless networks;
Conference_Titel :
ITS Telecommunications Proceedings, 2006 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
0-7803-9587-5
Electronic_ISBN :
0-7803-9587-5
DOI :
10.1109/ITST.2006.288848