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

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

中国邮电高校学报(英文) ›› 2009, Vol. 16 ›› Issue (6): 64-71.doi: 10.1016/S1005-8885(08)60290-3

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

许致远,李慧,陆月明,纪越峰

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

收稿日期:2008-05-06 修回日期:1900-01-01 出版日期:2009-12-30
通讯作者: 许致远

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

摘要/Abstract

摘要：

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.

关键词:

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

Abstract:

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.

参考文献

1. Li K H, Xu C Q, Xu J, et al. An efficient and scalable smoothing algorithm of VBR streams. Proceedings of 2007 IEEE International Conference on Multimedia & Expo (ICME’07), Jul 2-5, 2007, Beijing, China. Los Alamitos CA, USA: IEEE Computer Society, 2007: 244-247

2. Adas A M. Using adaptive linear prediction to support real-time VBR video under RCBR network service model. IEEE/ACM Transactions on Networking, 1998, 6(5): 635-644

3. Yoo S J. Efficient traffic prediction scheme for real-time VBR MPEG video transmission over high-speed networks. IEEE Transactions on Broadcasting, 2002, 48(1): 10-18

4. Wu M, Joyce R A, Wong H S, et al. Dynamic resource allocation via video content and short-term traffic statistics. IEEE Transactions on Multimedia, 2001, 3(2): 186-199

5. Feng S L, Sankar R. Dynamic bandwidth allocation scheme for stationary VBR traffic based on prediction. Proceedings of IEEE Global Telecom- munications Conference (GLOBECOM’99), Vol 2, Dec 5-9, 1999, Rio de Janeiro, Brazil. Piscataway, NJ, USA: IEEE, 1999: 1478-1482

6. Xu W, Qureshi A G. Adaptive linear prediction of MPEG video traffic. Proceedings of the 5th International Symposium on Signal Processing and Its Applications (ISSPA’99): Aug 22-25, 1999, Brisbane, Australia. Piscataway, NJ, USA: IEEE, 1999: 67-70

7. Liang Y. Real-time VBR video traffic prediction for dynamic bandwidth allocation. IEEE Transactions on Systems, Man and Cybernetics, 2004, 34(1): 32-47

8. Wang X Y, Jung S, Meditch J S. Dynamic bandwidth allocation for VBR video traffic using adaptive wavelet prediction. Proceedings of International Conference on Communications (ICC’98): Vol 1, Jun 7-11, 1998, Atlanta, GA, USA. Piscataway, NJ, USA: IEEE, 1998: 549-553

9. Liu H B, Mao G Q. Prediction algorithms for real-time variable-bit-rate video. Proceedings of the 11th Asia-Pacific Conference on Communications (APCC’05): Oct 3-5, 2005, Perth, Australia. Piscataway, NJ, USA: IEEE , 2005: 664-668

10. Haykin S S. Adaptive filter theory. 4th ed. Englewood Cliffs, NJ, USA: Prentice-Hall, 2001

11. Welsh J, Clark J. A proposed media delivery index. RFC4445. 2006

12. IPTV QoE: understanding and interpreting MDI values. White Paper. Agilent Technologies, 2006-02-04. www.aglient.com/comms/n2x

13. Verma D C. Service level agreement on IP networks. Proceedings of the IEEE, 2004, 92(9): 1382-1388

[1]	张晓娇, 吴祥. Distributed consensus of Lurie multi-agent systems under directed topology: a contraction approach [J]. 中国邮电高校学报(英文版), 2023, 30(6): 11-21.
[2]	吴岳, 陈向勇, 邱建龙, 胡顺伟, 赵峰. Dynamic event-triggered leader-follower consensus of nonlinear multi-agent systems under directed weighted topology [J]. 中国邮电高校学报(英文版), 2023, 30(6): 3-10.
[3]	吕鹏超, 黄俊杰, 刘波. Linear-quadratic optimal control for time-varying descriptor systems via space decompositions [J]. 中国邮电高校学报(英文版), 2023, 30(6): 38-48.
[4]	梁晓林, 刘千龙, 曹旺斌, 刘帅奇, 赵淑欢, 赵雄文. Fairness optimization and power allocation in cognitive NOMA / OMA V2V network with imperfect SIC [J]. 中国邮电高校学报(英文版), 2023, 30(6): 68-81.
[5]	Wang Zixian, Zhang Miao, Yan Danfeng . DRO-SLAM: Real-time object-aware SLAM for navigation robots and autonomous driving in dynamic environments[J]. 中国邮电高校学报(英文版), 2023, 30(3): 14-24.
[6]	杜晓娟田斌. Mainlobe interference suppression and beam pattern optimization methods[J]. 中国邮电高校学报(英文版), 2023, 30(2): 1-7.
[7]	路畅方园邱玲梁晓雯. Performance analysis and low complexity receiver design for extra-large scale MIMO systems with residual hardware impairments[J]. 中国邮电高校学报(英文版), 2023, 30(2): 18-25.
[8]	周由胜黄妙刘媛妮陈自刚. Dynamic multi-keyword fuzzy ranked search with leakage resilience over encrypted cloud data[J]. 中国邮电高校学报(英文版), 2023, 30(2): 83-95.
[9]	Guan Sihai, Cheng Qing, Zhao Yong, Liu Fangyao. Variable step-size adaptive filtering algorithm based on an exponent sin function[J]. 中国邮电高校学报(英文版), 2023, 30(1): 56-65.
[10]	李玉杰张晶晶蒋伟王春晓. Research on emotional space for movie and TV drama videos[J]. 中国邮电高校学报(英文版), 2022, 29(5): 73-82.
[11]	Wang Jian, Qiao Kuoyuan, Yuan Yanlei, Liu Xiaole, Yang Jian. Adaptive learning path recommendation model for examination-oriented education[J]. 中国邮电高校学报(英文版), 2022, 29(4): 77-88.
[12]	Li Qinghua, Wang Jiahui, Li Haiming, Feng Chao. HQD-RRT*: a high-quality path planner for mobile robot in dynamic environment[J]. 中国邮电高校学报(英文版), 2022, 29(3): 69-80.
[13]	卢莹黄世奇王文庆孙柯. Infrared image enhancement algorithm based on adaptive weighted guided filter[J]. 中国邮电高校学报(英文版), 2022, 29(2): 73-84.
[14]	韩伊凡冯涛刘晓凯许方敏赵成林. Edge-cloud collaborative intelligent production scheduling based on digital twin[J]. 中国邮电高校学报(英文版), 2022, 29(2): 108-120.
[15]	Sun Heng, Qiao Xiuquan. Augmented reality-based BIM multi-user collaboration system[J]. 中国邮电高校学报(英文版), 2022, 29(1): 71-80.

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

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

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

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

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

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

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

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