Study on Network Traffic Prediction Techniques

摘要：

we briefly describe a number of traffic predictors (such as ARIMA, FARIMA, ANN and wavelet-based predictors) and analyze their computational complexity. We compare their performance with MSE, NMSE and computational complexity by simulating the predictors on four wireless network traffic traces and decide the most suitable network traffic predictor based on acceptable performance and accuracy.

关键词： Network traffic prediction ARIMA FARIMA ANN wavelet

作者: Huifang Feng Yantai Shu

作者单位: Department of Computer Science, Tianjin University, Tianjin 300072, China

会议类型: 国际会议

会议名称: 2005年无线通信、网络和移动计算国际会议

会议地点: 武汉

会议语种:英文

页码: 995-998

在线出版日期: 2005-09-23（万方平台首次上网日期，不代表论文的发表时间）