Prediction of self-similar traffic based on QPSO-LMK
Juan Mei · Jisuanji gongcheng yu sheji · 2007
Recent studies of high quality, high resolution traffic measurements have revealed that network traffic appears to be statistically self-similar. Thus, traffic prediction plays an important role in network management. Least mean kurtosis (LMK) based on QPSO, which can obtain signal error ratio less than LMK, is proposed to predict the self similar traffic. The simulation results with the real traffic traces show the accuracy efficiency of the model.