Real time variable bit rate video traffic prediction

被引:12
作者
Mao, Guoqiang [1 ]
Liu, Huabing [1 ]
机构
[1] Univ Sydney, Sch Elect & Informat Engn, Darlington, NSW 2006, Australia
关键词
variable bit rate video; traffic prediction; wavelet theory;
D O I
10.1002/dac.838
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Real time variable bit rate (VBR) video traffic prediction plays an important role in dynamic bandwidth allocation schemes by providing an accurate estimation of the instantaneous bandwidth requirement of VBR video traffic and it has been widely used in dynamic bandwidth allocation. A number of prediction algorithms were proposed in the literature and they can be broadly classified into two categories: time domain approaches and wavelet domain approaches. In this paper, we first present a survey of the existing algorithms in the literature. On the basis of the survey, new algorithms are proposed in the time domain and in the wavelet domain, respectively. Simulations using real VBR video traces are conducted which show that the proposed algorithms achieve better performance than those in the literature. Copyright (C) 2006 John Wiley & Sons, Ltd.
引用
收藏
页码:491 / 505
页数:15
相关论文
共 33 条
[1]  
Abry P., 2000, SELF SIMILAR NETWORK, P39, DOI [10.1002/047120644X.ch2, DOI 10.1002/047120644X.CH2]
[2]   Traffic models in broadband networks [J].
Adas, A .
IEEE COMMUNICATIONS MAGAZINE, 1997, 35 (07) :82-89
[3]   Using adaptive linear prediction to support real-time VBR video under RCBR network service model [J].
Adas, AM .
IEEE-ACM TRANSACTIONS ON NETWORKING, 1998, 6 (05) :635-644
[4]   Broadband traffic modeling: Simple solutions to hard problems [J].
Addie, RG ;
Zukerman, M ;
Neame, TD .
IEEE COMMUNICATIONS MAGAZINE, 1998, 36 (08) :88-95
[5]  
[Anonymous], 1993, Ten Lectures of Wavelets
[6]   LONG-RANGE DEPENDENCE IN VARIABLE-BIT-RATE VIDEO TRAFFIC [J].
BERAN, J ;
SHERMAN, R ;
TAQQU, MS ;
WILLINGER, W .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1995, 43 (2-4) :1566-1579
[7]   Prediction of MPEG-coded video source traffic using recurrent neural networks [J].
Bhattacharya, A ;
Parlos, AG ;
Atiya, AF .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2003, 51 (08) :2177-2190
[8]  
Bowerman BL, 1987, TIME SERIES FORECAST
[9]   Wavelet-based linear system modeling and adaptive filtering [J].
Doroslovacki, MI ;
Fan, H .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1996, 44 (05) :1156-1167
[10]   Wavelet transform based adaptive filters: Analysis and new results [J].
Erdol, N ;
Basbug, F .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1996, 44 (09) :2163-2171