Internet Traffic Modeling

Traffic modeling is an important tool for performance evaluation of networks. Simple models like Poisson process have been discredited in modeling Internet traffic. At the same time, characterization studies of Internet traffic revealed the presence of different types of correlations in Internet traffic. In this paper, we explore the use of M|G|infin process in capturing traffic correlations. We use real traffic traces to construct M|G|infin traffic models for both video and Internet background traffic. We evaluate the traffic generated both statistically and in real network simulations