SVM-based analysis and prediction on network traffic

摘要

With continuous scale-up of the network and in-crease of the kinds of the services on the network, more and more people pay attention to the mod-eling and prediction for network traffic. Recently,SVM (Support Vector Machine), a new machine learning method, is comprehensively used to solve the problem of non-liner classification and regres-sion.A network traffic predictive method pre-sented in this paper is based on the LS-SVM (Least Squares SVM). Using NS2 simulator, we simulate the process of the network running with Drop-tail and RED controller respectively, then collect the being predicted traffic data which is on the bottle-neck router . The results on the precision of pre-diction is good and feasible.