[1] Hood C S, Ji C Y. Proactive network-fault detection [J]. IEEE Transactions on Reliability, 1997, 46(3): 333-341. [2] Kind A, Stoecklin M P, Dimitropoulos X. Histogram-based traffic anomaly detection [J]. IEEE Transactions on Network Service Management, 2009, 6(2): 110-121. [3] Soule A, Salamatian K, Taft N. Combining filtering and statistical methods for anomaly detection//ACM SIGCOMM Internet Measurement Conference ’05. Brekeley: ACM Press, 2005: 1-14. [4] Hellerstein J L, Zhang F, Shahabuddin P. An approach to predictive detection for service management//IM’99. New York: IEEE Publishing, 1999: 309-322. [5] Feather F, Maxion R. Fault detection in an ethernet network using anomaly signature matching//ACM SIGCOMM. San Francisco: ACM Press, 1993: 279–288. [6] Zhang Y, Ge Z, Greenberg A, et al, Network anomography //ACM SIGCOMM Internet Measurement Conference. Berkeley: ACM Press, 2005: 1-14. [7] Box G E P, Jenkins G M, Reinsel G C. Time series analysis: forecasting and control[M]. Beijing: Posts and Telecom Press, 2005. [8] 袁小坊, 陈楠楠, 谢高岗, 等. 城域网应用层流量预测模型[J]. 计算机研究与发展, 2009, 46(3): 434-442. Yuan Xiaofang, Chen Nannan, Xie Gaogang, et al. Traffic prediction models of traffics at application layer in metro area network[J]. Journal of Computer Research and Development, 2009, 46(3): 434-442. |