A Multimedia Traffic Classification Method Based on Improved Hidden Markov Model
Wang Zai-jian①② Dong Yu-ning① Zhang Hui① Feng You-hong②
①(College of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China) ②(The College of Physics and Electronic Information, Anhui Normal University, Wuhu 241000, China)
Abstract：This paper proposes an improved Hidden Markov Model (HMM) based multimedia traffic classification method. This method preserves the classical HMM model structure, and improves the performance of multimedia traffic classification by changing the emitting probability value with the position information of packet size. Theoretical analysis indicates that the new model can reduce the computational complexity of the classical HMM model. Simulation results show that the proposed method can improve the classification performance compared with the existing HMM based classification method.
2015, Vol. 37 
