Real-Time VBR Video Traffic Prediction for Dynamic Bandwidth Allocation
作者： Y. Liang
DOI: 10.1109/TSMCC.2003.818492
关键词:
摘要: In this paper, we systematically investigate the long-term, online, real-time variable-bit-rate (VBR) video traffic prediction, which is key and complicated component for advanced predictive dynamic bandwidth control allocation framework future networks Internet multimedia services. We focus on neural network-based approach prediction demonstrate that performance robustness of network predictors can be significantly improved through multiresolution learning. show predictor trained learning (called NN predictor) successfully predict various real-world VBR up to hundreds frames in advance, then lays a solid foundation mechanism. Also, control/allocation based long-term discussed detail.
sci-hub.se 参考文章(47)
Yann Lecun, Generalization and network design strategies Elsevier. ,(1989)
Computational Intelligence in Telecommunications Networks CRC Press. ,(2000) , 10.1201/9781420040951
A. Chodorek, R.R. Chodorek, An MPEG-2 video traffic prediction based on phase space analysis and its application to on-line dynamic bandwidth allocation 2nd European Conference on Universal Multiservice Networks. ECUMN'2001 (Cat. No.02EX563). pp. 44- 55 ,(2002) , 10.1109/ECUMN.2002.1002088
Chris Chatfield, Andreas S. Weigend, Time series prediction: Forecasting the future and understanding the past International Journal of Forecasting. ,vol. 10, pp. 161- 163 ,(1994) , 10.1016/0169-2070(94)90058-2
Chi-sing Leung, Kwok-wo Wong, Pui-fai Sum, Lai-wan Chan, None, A pruning method for the recursive least squared algorithm Neural Networks. ,vol. 14, pp. 147- 174 ,(2001) , 10.1016/S0893-6080(00)00093-9
Andreas S. Weigend, Bernardo A. Huberman, David E. Rumelhart, PREDICTING THE FUTURE: A CONNECTIONIST APPROACH International Journal of Neural Systems. ,vol. 01, pp. 193- 209 ,(1990) , 10.1142/S0129065790000102
Antonios F. Atlasis, Athanasios V. Vasilakos, LB-SELA: rate-based access control for ATM networks Computer Networks and Isdn Systems. ,vol. 30, pp. 963- 980 ,(1998) , 10.1016/S0169-7552(97)00135-9
J. Hall, P. Mars, Limitations of artificial neural networks for traffic prediction in broadband networks IEE Proceedings - Communications. ,vol. 147, pp. 114- 118 ,(2000) , 10.1049/IP-COM:20000146
I.W. Habib, Applications of neurocomputing in traffic management of ATM networks Proceedings of the IEEE. ,vol. 84, pp. 1430- 1441 ,(1996) , 10.1109/5.537109
A.A. Lazar, G. Pacifici, Control of resources in broadband networks with quality of service guarantees IEEE Communications Magazine. ,vol. 29, pp. 66- 73 ,(1991) , 10.1109/35.99263