Prediction of data flow in computer network based on linear multi-scale model
DUAN Hua-qiong
TANG Bin-hui
Abstract：In order to solve the supervisory and control problems of network safety, an algorithm for the prediction of network flow data was proposed.The combined prediction of network data was carried out based on multiple linear models with different scales.The linear models with each scale were obtained through estimating the partial original data after filtering with a filter.The final predicted flow data were obtained from the average predicted values with multi-scale linear models.The selected linear models were the autoregressive moving average models.The linear model with a lower scale corresponds to a relative autoregressive moving average model with a higher order.The results show that the proposed algorithm has high predicted accuracy, and the mean value of entire prediction error is in the level of 10-3.
Keywords：network flowlinearitymulti-scaleautoregressive moving average modelpredictionerror
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 322-327 )