Modeling and simulation of self-similar traffic based on FBM model
Kang Feng-ju · Electronic Design Engineering · 2011
Network traffic models are important basis of network programming and performance evaluation.The conventional models are mostly based on Poisson model and Markovian traffic model,which is only Short-Range Dependence.With the continuous development of network services,studies found that the actual network traffic has a long-range dependence(LRD) now and in a very long time,which is a kind of self-similarity.In this paper,the RMD and Fourier algorithm were adopted to simulate and analyze FBM model,a self-similar model.They generated the necessary sequence of self-similar traffic.Then the article uses R/S method and variance-time method to verify Hurst value of the generated sequence of self-similar traffic in order to verify the self-similarity of the self-similar traffic sequence.The existence of self-similarity is verified by experiments,and the advantage and disadvantage of RMD and Fourier algorithm are analyzed.