Abstract: In order to mitigate the performance problem by network node breakdown,a novel traffic prediction algorithm(Prediction algorithm based-FARIMA model for Breakdown,PFB) is proposed.At first,the mathematic formula for average queue length in steady state is derived with queuing theory in this algorithm,and the prediction method is established by FARIMA Model.Then,a simulation was conducted to research on the relationships between average queue length and service rate.The result shows that it has good adaptability,and the standard deviation between prediction traffic and original traffic is 12.13.