2. Tanaka K, Agata A, Horiuchi Y, et al. IEEE 802.3av 10G-EPON standardization and its research and development status. Journal of Lightwave Technology, 2010, 28(4): 651-661
3. Hajduczenia M, da Silva H J A,Monteiro P P. 10G EPON development process. Proceeding of the 9th International Conference on Transparent Optical Networks (ICTON’07): Vol 1, Jul 1-5, 2007, Rome, Italy. Piscataway, NJ, USA: IEEE, 2007: 276-282
5. Roy R, Kramer G, Hajduczenia M, et al. Performance of 10G-EPON. IEEE Communications Magazine, 2011, 49(11): 78-85
6. Crotti M, Gringoli F, Pelosato P, et al. A statistical approach to IP-level classification of network traffic. Proceeding of the 2006 IEEE International Conference on Communications (ICC’06): Vol 1, Jun 11-15, 2006, Istanbul, Turkey. Piscataway, NJ, USA: IEEE, 2006: 170-176
7. Moore A W, Zuev D. Internet traffic classification using Bayesian analysis techniques. Proceedings of the 2005 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS’05), Jun 6-10, 2005, Banff, Canada. New York, NY, USA: ACM, 2005: 50-60
8. Bai H F, Li M W, Wang D S. Bayesian classifier based service-aware mechanism in 10G-EPON for smart power grid. Acta Photonica Sinica, 2013, 42(6): 668-673 (in Chinese)
9. Jaeger H. The “echo state” approach to analyzing and training recurrent neural networks-with an erratum note. GMD Technical Report 148, Bonn, Germany: German National Research Center for Information Technology, 2001
10. Alexandre L A, Embrechts M J, Linton J. Benchmarking reservoir computing on time-independent classification tasks. Proceeding of the International Joint Conference on Neural Networks (IJCNN’09), Jun 14-19, 2009, Atlanta, GA, USA. Piscataway, NJ, USA: IEEE, 2009: 89-93
11. Guo J, Lei M, Peng X Y. Echo state networks for static classification with corresponding clusters. Acta Electronica Sinica, 2011, 39(3A): 14-18 (in Chinese) |